image
imagewidth (px) 256
256
| wrist
imagewidth (px) 256
256
| conversations
dict | annotation
stringlengths 8
51
⌀ |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_30><DEPTH_56><DEPTH_101><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_69><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_25><DEPTH_74><DEPTH_75><DEPTH_56><DEPTH_55><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_101><DEPTH_30><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_116><DEPTH_32><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[212,77],[252,79],[123,115],[51,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[里, â½Ĺ, 里, Ḱ, áłĦ, áĭ©, Ý¥], [ÔĪ, â½Ĺ, áĢı, ðŁķł, áĢı, áĭ©, Ý¥], [áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[里, â½Ĺ, 里, Ḱ, áłĦ, áĭ©, Ý¥], [ÔĪ, â½Ĺ, áĢı, ðŁķł, áĢı, áĭ©, Ý¥], [áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥]]."
]
}
|
[[212,77],[252,79],[123,115],[51,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_30><DEPTH_84><DEPTH_32><DEPTH_101><DEPTH_103><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_69><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[212,78],[253,77],[123,115],[51,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ÔĪ, â½Ĺ, áĢı, ðŁķł, áĢı, áĭ©, Ý¥], [áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ÔĪ, â½Ĺ, áĢı, ðŁķł, áĢı, áĭ©, Ý¥], [áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥]]."
]
}
|
[[212,78],[253,77],[123,115],[51,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_26><DEPTH_55><DEPTH_25><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_74><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_9><DEPTH_116><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_25><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[242,59],[251,73],[123,118],[47,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áģ¼, â½Ĺ, áĮĶ, ðŁķĿ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥]]."
]
}
|
[[242,59],[251,73],[123,118],[47,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_69><DEPTH_9><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_125><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_69><DEPTH_26><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_55><DEPTH_32><DEPTH_101><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[247,59],[251,73],[123,118],[47,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â½Ĺ, â²¢, ðŁĹģ, à°µ, áĭ©, Ý¥], [áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥]]."
]
}
|
[[247,59],[251,73],[123,118],[47,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_84><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_69><DEPTH_9><DEPTH_84><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_55><DEPTH_8><DEPTH_26><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_116><DEPTH_116><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,63],[253,77],[104,79],[47,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â½Ĺ, íĵ®, ⼤, à°µ, áĭ©, Ý¥], [áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥]]."
]
}
|
[[251,63],[253,77],[104,79],[47,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_84><DEPTH_56><DEPTH_125><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_116><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_28><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_9><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_116><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[254,66],[253,7],[104,79],[47,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, â°Ł, ðIJ±ħ, íĬŃ, à°µ, áĭ©, Ý¥], [áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥]]."
]
}
|
[[254,66],[253,7],[104,79],[47,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_30><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_25><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_55><DEPTH_26><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_25><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[212,79],[253,74],[102,132],[39,23],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, 嘆, ðĿĶĵ, áĪ¾, à°µ, áĭ©, Ý¥], [á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥]]."
]
}
|
[[212,79],[253,74],[102,132],[39,23],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_30><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_25><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[232,81],[253,74],[102,132],[39,23],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[á¸ĥ, ãĦ§, ðĿĺIJ, ìĽ¢, à°µ, áĭ©, Ý¥], [âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥]]."
]
}
|
[[232,81],[253,74],[102,132],[39,23],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_30><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_25><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_25><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[207,59],[232,73],[91,130],[39,23],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âĺµ, á¸Ĭ, ðĿĻ°, ðIJ¤Ķ, à°µ, áĭ©, Ý¥], [âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥]]."
]
}
|
[[207,59],[232,73],[91,130],[39,23],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_69><DEPTH_26><DEPTH_8><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[232,82],[246,81],[91,130],[39,23],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[âĶŀ, ðĿĺļ, ðĿĻ¿, áī¨, à°µ, áĭ©, Ý¥], [áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥]]."
]
}
|
[[232,82],[246,81],[91,130],[39,23],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_116><DEPTH_26><DEPTH_32><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_9><DEPTH_74><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[238,87],[239,81],[84,131],[38,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, ðĿij³, ðŁħħ, âĺµ, à°µ, áĭ©, Ý¥], [áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥]]."
]
}
|
[[238,87],[239,81],[84,131],[38,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_75><DEPTH_30><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_9><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_69><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_116><DEPTH_116><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[234,87],[239,81],[84,131],[38,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, íĵ®, ðŁħĵ, âĺµ, áģ¼, áĭ©, Ý¥], [áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥]]."
]
}
|
[[234,87],[239,81],[84,131],[38,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_55><DEPTH_26><DEPTH_75><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_8><DEPTH_55><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_69><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_8><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_116><DEPTH_116><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[248,81],[243,80],[81,132],[38,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ê³Ĥ, ðĿļı, âĺµ, âĶŀ, áĭ©, Ý¥], [áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥]]."
]
}
|
[[248,81],[243,80],[81,132],[38,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_28><DEPTH_8><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_116><DEPTH_25><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[247,84],[197,26],[81,132],[38,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, ê²Ļ, ðĿĻ°, âĺµ, íĵ¬, áĭ©, Ý¥], [Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥]]."
]
}
|
[[247,84],[197,26],[81,132],[38,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_25><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[232,30],[194,26],[86,133],[29,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[Ôij, áĶĬ, ðĿķį, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥]]."
]
}
|
[[232,30],[194,26],[86,133],[29,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_55><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_28><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[244,128],[194,26],[86,133],[29,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵŀ, áĮĦ, ðĿĵ¹, âĺµ, ðĸ¥, áĭ©, Ý¥], [ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥]]."
]
}
|
[[244,128],[194,26],[86,133],[29,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_125><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_69><DEPTH_55><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_28><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[248,135],[242,84],[84,135],[29,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, áĮĶ, ðĿĵ¬, âĺµ, ïŃ², áĭ©, Ý¥], [ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥]]."
]
}
|
[[248,135],[242,84],[84,135],[29,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_26><DEPTH_26><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_69><DEPTH_55><DEPTH_74><DEPTH_84><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_9><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_28><DEPTH_75><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,77],[232,76],[84,135],[29,26],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðŁıĩ, áĴĮ, ðĿĵķ, âĺµ, 辰, áĭ©, Ý¥], [Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥]]."
]
}
|
[[252,77],[232,76],[84,135],[29,26],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_74><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_9><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_25><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[248,140],[243,84],[86,136],[29,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, áĶĬ, ðĿĵ¹, âĺµ, íĭį, áĭ©, Ý¥], [áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥]]."
]
}
|
[[248,140],[243,84],[86,136],[29,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_25><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_69><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_56><DEPTH_75><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_69><DEPTH_55><DEPTH_55><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_9><DEPTH_26><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_25><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,79],[243,84],[86,136],[29,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áī¨, á¨ģ, ðĿķ¡, âĺµ, á¨ģ, áĭ©, Ý¥], [áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥]]."
]
}
|
[[251,79],[243,84],[86,136],[29,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_75><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_9><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_116><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_25><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[248,145],[232,73],[87,137],[29,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, áĮĶ, ðĿĺļ, âĺµ, áī¨, áģ¼, Ý¥], [ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
|
[[248,145],[232,73],[87,137],[29,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_28><DEPTH_125><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_116><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,145],[251,71],[87,137],[29,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ãĪª, áī¨, ðĿĺIJ, âĺµ, áĢı, áģ¼, Ý¥], [ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
|
[[251,145],[251,71],[87,137],[29,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_30><DEPTH_69><DEPTH_101><DEPTH_103><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_25><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_9><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,143],[252,66],[86,138],[26,27],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ì¼ĩ, à²Ł, ðĿĸĸ, âĺµ, áĢı, áĢı, Ý¥], [롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥]]."
]
}
|
[[252,143],[252,66],[86,138],[26,27],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_103><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_74><DEPTH_75><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_25><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,145],[252,66],[86,138],[26,27],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[롼, à²Ł, ðĿĶĵ, âĺµ, áī¨, à²Ł, Ý¥], [ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥]]."
]
}
|
[[251,145],[252,66],[86,138],[26,27],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_30><DEPTH_69><DEPTH_101><DEPTH_84><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_101><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_116><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,145],[244,65],[87,138],[26,27],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ê²´, à²Ł, ðĿĵ¬, âĺµ, áĭ©, à²Ł, Ý¥], [ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥]]."
]
}
|
[[251,145],[244,65],[87,138],[26,27],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,145],[236,64],[87,138],[26,27],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ê²Ļ, à²Ł, ðĿĵ¹, âĺµ, áĢı, áĢı, Ý¥], [â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[252,145],[236,64],[87,138],[26,27],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,150],[229,63],[88,140],[17,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[â²¢, à²Ł, ðĿĵķ, âĺµ, áĢı, áģ¼, Ý¥], [ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij]]."
]
}
|
[[253,150],[229,63],[88,140],[17,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_69><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_26><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,151],[229,63],[88,140],[17,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ḻ, à²Ł, ðĿij³, âĺµ, à°µ, áģ¼, Ý¥], [áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij]]."
]
}
|
[[252,151],[229,63],[88,140],[17,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_75><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_26><DEPTH_84><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_8><DEPTH_30><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_55><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[238,158],[225,62],[91,141],[17,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áłĦ, à²Ł, ðĸ¥¨, âĺµ, à°µ, áģ¼, Ý¥], [áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij]]."
]
}
|
[[238,158],[225,62],[91,141],[17,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_8><DEPTH_30><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,150],[140,26],[91,141],[17,30],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĶ, à²Ł, ïŃ², âĺµ, à°µ, áĢı, Ý¥], [áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij]]."
]
}
|
[[251,150],[140,26],[91,141],[17,30],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_25><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_26><DEPTH_84><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[238,153],[187,59],[95,140],[14,32],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, 臘, âĺµ, à°µ, áģ¼, Ý¥], [áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij]]."
]
}
|
[[238,153],[187,59],[95,140],[14,32],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[243,68],[187,59],[95,140],[14,32],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, ìĨĬ, âĺµ, à°µ, áĬĴ, Ý¥], [áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij]]."
]
}
|
[[243,68],[187,59],[95,140],[14,32],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[243,153],[135,54],[91,143],[14,32],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[áĮĦ, à²Ł, á¨ģ, âĺµ, à°µ, áĭ©, ðŁİij], [ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij]]."
]
}
|
[[243,153],[135,54],[91,143],[14,32],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_26><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_75><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_103><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[247,153],[156,59],[91,143],[14,32],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ॱ, à²Ł, áī¨, íĵ¬, ÔĪ, áĭ©, ðŁİij], [Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij]]."
]
}
|
[[247,153],[156,59],[91,143],[14,32],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_26><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[247,153],[133,91],[97,132],[10,34],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[Ýĵ, à²Ł, Ý¥, íĵ», ðŁħ¢, áĭ©, ðŁİij], [ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij]]."
]
}
|
[[247,153],[133,91],[97,132],[10,34],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_125><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[247,153],[133,91],[97,132],[10,34],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿļģ, à²Ł, ðIJ¤Ķ, ðIJŃĬ, ðIJ°¼, áĭ©, ðŁİij], [里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij]]."
]
}
|
[[247,153],[133,91],[97,132],[10,34],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_125><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,151],[133,97],[93,143],[10,34],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[里, à²Ł, ìľ¾, ïŃ², íĵĸ, áĮĦ, ðŁİij], [ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij]]."
]
}
|
[[251,151],[133,97],[93,143],[10,34],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[248,150],[130,97],[93,143],[10,34],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¤ħ, à°µ, á¿IJ, ïŃ², ï¦ĥ, áIJ§, ðŁİij], [ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij]]."
]
}
|
[[248,150],[130,97],[93,143],[10,34],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_30><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_28><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_69><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,148],[135,78],[94,143],[10,33],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¦ĥ, Ý¥, áĮĥ, ï¥ł, 里, áĶħ, ðŁİij], [íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij]]."
]
}
|
[[253,148],[135,78],[94,143],[10,33],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_116><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_84><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_30><DEPTH_116><DEPTH_74><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_8><DEPTH_30><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_55><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,148],[135,78],[94,143],[10,33],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[íĽľ, ðŁħ¢, áĪ¾, íĵ», à°µ, âĶŀ, ðŁİij], [ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij]]."
]
}
|
[[253,148],[135,78],[94,143],[10,33],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_55><DEPTH_32><DEPTH_116><DEPTH_74><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_25><DEPTH_75><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,150],[173,104],[93,143],[10,33],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ï¨Ĥ, ðIJŃĵ, áĪĬ, íĭį, à¤ij, âļ£, ðŁİij], [ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij]]."
]
}
|
[[252,150],[173,104],[93,143],[10,33],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_9><DEPTH_116><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_101><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,145],[166,105],[93,143],[10,33],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻľ, íĽľ, áĪ¾, ìĨĬ, ॱ, ê²Ļ, ðŁİij], [ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij]]."
]
}
|
[[253,145],[166,105],[93,143],[10,33],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_116><DEPTH_116><DEPTH_30><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_116><DEPTH_25><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,87],[133,77],[97,143],[10,40],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ë±IJ, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij]]."
]
}
|
[[252,87],[133,77],[97,143],[10,40],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_125><DEPTH_25><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_56><DEPTH_74><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_25><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_116><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[252,79],[133,77],[97,143],[10,40],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ॱ, 맳, áĮ½, âĺµ, à°µ, íĭį, ðŁİij], [à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij]]."
]
}
|
[[252,79],[133,77],[97,143],[10,40],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_56><DEPTH_101><DEPTH_9><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_25><DEPTH_28><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,77],[132,102],[95,144],[10,40],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[à°µ, â¡¢, áĮ½, âĺµ, à¤ij, íĵ¬, ðŁİij], [à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij]]."
]
}
|
[[253,77],[132,102],[95,144],[10,40],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_30><DEPTH_69><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_30><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_74><DEPTH_28><DEPTH_25><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[251,73],[130,102],[95,144],[10,40],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[à¤ij, á¾Ķ, áĮĥ, âĺµ, ðŁıĩ, íĵ», ðŁİij], [Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij]]."
]
}
|
[[251,73],[130,102],[95,144],[10,40],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_30><DEPTH_8><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_74><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_125><DEPTH_69><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_69><DEPTH_74><DEPTH_28><DEPTH_25><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,77],[130,110],[102,145],[124,5],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, áĪĬ, ᳬ, âĺµ, ðŁıĩ, 臘, ðŁİij], [ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij]]."
]
}
|
[[253,77],[130,110],[102,145],[124,5],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_55><DEPTH_75><DEPTH_103><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_9><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_116><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_8><DEPTH_116><DEPTH_56><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,7],[130,110],[102,145],[124,5],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ðŁĨĴ, á¶ı, âĺµ, ðĿĵ°, ï¥ł, ðŁİij], [ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij]]."
]
}
|
[[253,7],[130,110],[102,145],[124,5],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_55><DEPTH_75><DEPTH_75><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_25><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[253,74],[130,110],[102,143],[124,5],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij], [áģ¼, ðŁĸij, ðIJŃĵ, ðĿĻ½, íĵĸ, âļ£, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[ʶ, ìł°, á¿ļ, âļ£, ðĿĵŀ, 辰, ðŁİij], [Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij], [áģ¼, ðŁĸij, ðIJŃĵ, ðĿĻ½, íĵĸ, âļ£, ðŁİij]]."
]
}
|
[[253,74],[130,110],[102,143],[124,5],[4,65]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. What is the action that the robot should take. To figure out the action that the robot should take to put the white mug on the left plate and put the yellow and white mug on the right plate, let's think through it step by step. First, what is the depth map for the first image? Second, what is the trajectory of the end effector in the first image? Based on the depth map of the first image and the trajectory of the end effector in the first image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"The depth map of the first image is <DEPTH_START><DEPTH_116><DEPTH_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_28><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_74><DEPTH_8><DEPTH_55><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_28><DEPTH_32><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_25><DEPTH_32><DEPTH_32><DEPTH_116><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[232,73],[124,113],[102,143],[124,5],[4,65]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij], [áģ¼, ðŁĸij, ðIJŃĵ, ðĿĻ½, íĵĸ, âļ£, ðŁİij], [áĢı, ðŁĸĩ, ðĿĵŀ, ðĿĻ¿, ï¤ħ, âļ£, ðŁİij]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is put the white mug on the left plate and put the yellow and white mug on the right plate. Notice that the trajectory of the end effector is annotated on the first image. Based on the trajectory annotated on the image, along with other images from different camera views as additional information, what is the action that the robot should take?",
"Based on the first image and the annotated trajectory of the end effector, along with other images from different camera views as additional information, the action that the robot should take is [[Ý¥, ìī¡, ⤦, 롼, ðĿĵ°, 辰, ðŁİij], [ॱ, ë¯ij, ë±IJ, 臘, ðŁıĩ, ïŃ², ðŁİij], [à¬ī, ëĶī, ì»ģ, ðIJŃĬ, ðĿĵŀ, ï¥ł, ðŁİij], [à°³, 㳬, íĵĸ, ðĸ¥¨, ðIJ¤Ķ, íĵ¶, ðŁİij], [áģ¼, á¼®, ï¤ħ, ðĿķį, ï¨Ĥ, íĭį, ðŁİij], [áģ¼, ðŁĹģ, ðIJ¤Ķ, ðĿĻ¸, íķ±, 䶵, ðŁİij], [áģ¼, ðŁĸij, ðIJŃĵ, ðĿĻ½, íĵĸ, âļ£, ðŁİij], [áĢı, ðŁĸĩ, ðĿĵŀ, ðĿĻ¿, ï¤ħ, âļ£, ðŁİij]]."
]
}
|
[[232,73],[124,113],[102,143],[124,5],[4,65]]
|
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