image
imagewidth (px) 256
256
| wrist
imagewidth (px) 256
256
| conversations
dict | annotation
stringlengths 8
51
⌀ |
|---|---|---|---|
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_30><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[180,59],[179,71],[170,76],[176,81],[174,91]]. 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, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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, ðĸ¥¨, âĺµ, à°µ, ðĿij³, Ý¥], [ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥]]."
]
}
|
[[180,59],[179,71],[170,76],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_30><DEPTH_56><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[180,89],[179,68],[174,76],[178,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ê³Ĥ, à²Ł, ðĿĵ¬, âĺµ, à°µ, ðIJŃĬ, Ý¥], [íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥]]."
]
}
|
[[180,89],[179,68],[174,76],[178,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_75><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_125><DEPTH_56><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[181,59],[179,68],[174,76],[178,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[íĵ®, à²Ł, ðĿķį, âĺµ, à°³, ï¥ł, Ý¥], [ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥]]."
]
}
|
[[181,59],[179,68],[174,76],[178,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_8><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_25><DEPTH_56><DEPTH_26><DEPTH_69><DEPTH_25><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_125><DEPTH_101><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,73],[170,71],[178,76],[178,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ïŃ², à²Ł, ðĿĸĸ, âĺµ, à¤ij, 臘, Ý¥], [ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥]]."
]
}
|
[[179,73],[170,71],[178,76],[178,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_28><DEPTH_26><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_125><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,68],[170,73],[178,76],[178,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ðĿĵķ, à²Ł, ðĿĺIJ, âĺµ, à¤ij, íĵ¶, Ý¥], [ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥]]."
]
}
|
[[179,68],[170,73],[178,76],[178,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_116><DEPTH_56><DEPTH_26><DEPTH_8><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_125><DEPTH_101><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,68],[170,74],[174,77],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ðĿĵ¾, à²Ł, ðĿĻ®, âĺµ, Ýĵ, íĵ®, Ý¥], [ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥]]."
]
}
|
[[179,68],[170,74],[174,77],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_125><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_125><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,68],[170,74],[174,77],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ðĿķ¡, à²Ł, ðĿĻ¸, âĺµ, Ôij, íĭį, Ý¥], [ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥]]."
]
}
|
[[179,68],[170,74],[174,77],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_101><DEPTH_101><DEPTH_69><DEPTH_32><DEPTH_26><DEPTH_8><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_28><DEPTH_26><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_75><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_8><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,71],[170,76],[178,77],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ðĿĺļ, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ìĨĬ, Ý¥], [ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥]]."
]
}
|
[[170,71],[170,76],[178,77],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_8><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_28><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_32><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,71],[170,73],[178,77],[176,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ðĿĻ½, à²Ł, ðĿĻ¸, âĺµ, ÔĪ, ê³Ĥ, Ý¥], [ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥]]."
]
}
|
[[179,71],[170,73],[178,77],[176,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_26><DEPTH_30><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[179,68],[170,76],[174,77],[174,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ÆĪ, à²Ł, ðĿĻ¸, ãĪª, ʶ, ê²Ļ, Ý¥], [á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
|
[[179,68],[170,76],[174,77],[174,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_25><DEPTH_75><DEPTH_75><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,71],[170,76],[174,77],[174,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[á¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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¤Ĭ, à²Ł, ðĿĻ°, ìĨĬ, ðŁıĩ, â²¢, Ý¥], [âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
|
[[170,71],[170,76],[174,77],[174,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_32><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_9><DEPTH_75><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,73],[170,76],[174,78],[174,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĿª, áĢı, ðĿĻ°, íĵ®, ðŁıĩ, âĶŀ, Ý¥], [ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥]]."
]
}
|
[[170,73],[170,76],[174,78],[174,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_75><DEPTH_30><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,74],[174,76],[174,78],[174,81],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãħĸ, áī¨, ðĿĻ¸, ï¥ł, ʶ, á¸ĥ, Ý¥], [ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[170,74],[174,76],[174,78],[174,81],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_28><DEPTH_9><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_30><DEPTH_25><DEPTH_101><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,76],[178,76],[174,79],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãī«, áī¨, ðĿĻ¼, ðIJŃĬ, Ôij, áłĦ, Ý¥], [ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[170,76],[178,76],[174,79],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,73],[178,76],[174,79],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ê¦Ķ, áģ¼, ðĿĻ½, ðIJ±ħ, à¤ij, áĶĬ, Ý¥], [ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[170,73],[178,76],[174,79],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_116><DEPTH_101><DEPTH_26><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_30><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,76],[174,77],[176,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ê¦Ķ, à²Ł, ðĿĻ¿, ðĸ¥¨, à¬ī, áĶħ, Ý¥], [ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[170,76],[174,77],[176,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_28><DEPTH_9><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_116><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[170,76],[178,77],[176,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦ§, à²Ł, ðĿļı, ðĿij³, à°µ, áĶħ, Ý¥], [ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[170,76],[178,77],[176,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_55><DEPTH_9><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_9><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,76],[174,77],[178,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦį, à²Ł, ðŁħĵ, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥]]."
]
}
|
[[174,76],[174,77],[178,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_55><DEPTH_9><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_9><DEPTH_75><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[178,76],[174,77],[178,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦĵ, à²Ł, àłĮ, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[178,76],[174,77],[178,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_75><DEPTH_30><DEPTH_55><DEPTH_9><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_69><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_8><DEPTH_116><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,77],[174,78],[176,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦ§, à²Ł, áĽħ, ðĿķį, à°µ, áĴĮ, Ý¥], [ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,77],[174,78],[176,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_55><DEPTH_9><DEPTH_74><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_69><DEPTH_101><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_28><DEPTH_32><DEPTH_116><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[178,77],[174,79],[176,81],[174,84],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦ§, à²Ł, á¸Ĭ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥]]."
]
}
|
[[178,77],[174,79],[176,81],[174,84],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_116><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,77],[176,81],[174,81],[176,88],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦĵ, à²Ł, âĿª, ðĿķ±, à°µ, áĴĮ, Ý¥], [⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,77],[176,81],[174,81],[176,88],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_125><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_84><DEPTH_8><DEPTH_101><DEPTH_26><DEPTH_74><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_25><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,78],[176,81],[174,81],[176,88],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[⣰, à²Ł, ãĦį, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,78],[176,81],[174,81],[176,88],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_101><DEPTH_75><DEPTH_9><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_8><DEPTH_25><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,79],[178,81],[174,84],[176,88],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĿ«, à²Ł, ãĦ§, ðĿķ±, à°µ, áĴĮ, Ý¥], [âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,79],[178,81],[174,84],[176,88],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_125><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_75><DEPTH_116><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_8><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_116><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,81],[176,81],[174,84],[176,88],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĿª, à²Ł, ê¦Ķ, ðĿķ¡, à°µ, áĴĮ, Ý¥], [âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥]]."
]
}
|
[[176,81],[176,81],[174,84],[176,88],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_25><DEPTH_55><DEPTH_69><DEPTH_74><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_74><DEPTH_25><DEPTH_26><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_28><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[178,81],[174,81],[174,84],[174,91],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĽı, à²Ł, á¥Ķ, ðĿķį, à°µ, áĶħ, Ý¥], [âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥]]."
]
}
|
[[178,81],[174,81],[174,84],[174,91],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_125><DEPTH_101><DEPTH_30><DEPTH_101><DEPTH_56><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_25><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_55><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_32><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,81],[174,81],[174,84],[174,91],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĽı, à²Ł, âĨ·, ðĿķį, à°µ, áĶħ, Ý¥], [âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[176,81],[174,81],[174,84],[174,91],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_101><DEPTH_30><DEPTH_101><DEPTH_56><DEPTH_56><DEPTH_28><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_32><DEPTH_75><DEPTH_75><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_55><DEPTH_25><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_55><DEPTH_56><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_9><DEPTH_9><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,81],[174,84],[176,88],[174,91],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĿ«, à²Ł, âĸ¤, ðĿĶĵ, à°µ, áĶħ, Ý¥], [ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,81],[174,84],[176,88],[174,91],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_28><DEPTH_25><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,84],[174,84],[176,88],[174,91],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãĦĵ, à²Ł, ãĪ¼, ðĿĵ¬, à°µ, áĶħ, Ý¥], [ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,84],[174,84],[176,88],[174,91],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_28><DEPTH_74><DEPTH_116><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_25><DEPTH_25><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,84],[176,88],[174,91],[176,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[ãħĸ, à²Ł, 嘆, ðĿĵ¬, à°µ, áĶħ, Ý¥], [àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,84],[176,88],[174,91],[176,89],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_55><DEPTH_8><DEPTH_25><DEPTH_116><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,88],[174,91],[176,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[àºĤ, à²Ł, âĴ¡, ðĿij³, à°µ, áĶħ, Ý¥], [áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[176,88],[174,91],[176,89],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_28><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_55><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_26><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_30><DEPTH_74><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_69><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_101><DEPTH_8><DEPTH_32><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,91],[176,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[áħ£, à²Ł, â°Ĥ, ðĿij³, à°µ, áĶħ, Ý¥], [âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,91],[176,89],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_116><DEPTH_125><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_101><DEPTH_55><DEPTH_55><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_25><DEPTH_32><DEPTH_74><DEPTH_101><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_9><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_125><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[176,89],[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[âĩŀ, à²Ł, â°ij, ðĿĵ¹, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[176,89],[174,91]]
|
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. What is the action that the robot should take. To figure out the action that the robot should take to pick up the book and place it in the back compartment of the caddy, 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_125><DEPTH_69><DEPTH_75><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_69><DEPTH_55><DEPTH_9><DEPTH_69><DEPTH_26><DEPTH_75><DEPTH_26><DEPTH_56><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_28><DEPTH_74><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_26><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_116><DEPTH_32><DEPTH_74><DEPTH_56><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_101><DEPTH_32><DEPTH_9><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_9><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_69><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_8><DEPTH_125><DEPTH_8><DEPTH_32><DEPTH_32><DEPTH_8><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_26><DEPTH_75><DEPTH_8><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_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_END>. The trajectory of the end effector in the first image is [[174,91]]. Based on these information, along with other images from different camera views as additional information, the action that the robot should take is [[嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
| null |
||
{
"from": [
"human",
"gpt"
],
"value": [
"The task is pick up the book and place it in the back compartment of the caddy. 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 [[嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥], [嘆, à²Ł, ãĩº, ðĿķį, à°µ, áĶħ, Ý¥]]."
]
}
|
[[174,91]]
|
||
{
"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_9><DEPTH_28><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_8><DEPTH_116><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_32><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_116><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[140,28],[180,89],[194,26],[97,141],[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, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĵ¹, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, 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 [[ðĿĻľ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĵ¹, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[140,28],[180,89],[194,26],[97,141],[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_9><DEPTH_25><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_28><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_116><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><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 [[140,26],[180,89],[194,26],[97,141],[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, ðĿĵ¹, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, 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 [[ðĿĻľ, ðĿĵ¹, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[140,26],[180,89],[194,26],[97,141],[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_9><DEPTH_25><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_125><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><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 [[145,27],[183,89],[242,84],[97,141],[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, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, 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 [[ðĿĻľ, ðĿĶĵ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[145,27],[183,89],[242,84],[97,141],[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_9><DEPTH_25><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_30><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_32><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_56><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><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 [[153,28],[183,84],[242,84],[97,141],[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, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, 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 [[ðĿļģ, ðĿķ¡, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[153,28],[183,84],[242,84],[97,141],[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_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_84><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_28><DEPTH_74><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_25><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[161,30],[188,76],[232,76],[91,137],[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, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, 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 [[ðŁıĩ, ðĿķ±, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[161,30],[188,76],[232,76],[91,137],[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_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_103><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_56><DEPTH_8><DEPTH_56><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><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 [[153,33],[188,76],[232,76],[91,137],[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, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, 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 [[ðŁıĩ, ðĿķį, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[153,33],[188,76],[232,76],[91,137],[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_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_103><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_101><DEPTH_9><DEPTH_74><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_8><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_8><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_56><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 [[153,31],[194,77],[243,84],[91,137],[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 [[ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, 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 [[ðŁħ¢, ðĿĵ¬, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[153,31],[194,77],[243,84],[91,137],[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_69><DEPTH_56><DEPTH_56><DEPTH_69><DEPTH_103><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_8><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_8><DEPTH_9><DEPTH_116><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[170,29],[222,65],[243,84],[91,137],[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, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, 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 [[ðĿĻľ, ðIJ±ħ, áĮĶ, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿĻľ, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij]]."
]
}
|
[[170,29],[222,65],[243,84],[91,137],[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_69><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_84><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_9><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[145,33],[212,77],[232,73],[84,135],[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, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, 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, íĵ®, áIJ§, âĺµ, à°µ, áĭ©, ðŁİij], [ðĿļģ, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij]]."
]
}
|
[[145,33],[212,77],[232,73],[84,135],[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_69><DEPTH_101><DEPTH_56><DEPTH_8><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_32><DEPTH_101><DEPTH_75><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_116><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_25><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[153,33],[212,77],[232,73],[84,135],[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, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, 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, ì¼ĩ, áĴĮ, âĺµ, à°µ, áĭ©, ðŁİij], [ʶ, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij]]."
]
}
|
[[153,33],[212,77],[232,73],[84,135],[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_69><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_69><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_25><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_32><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_28><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[151,33],[212,78],[251,71],[84,135],[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, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, 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, 辰, áĶĬ, âĺµ, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij]]."
]
}
|
[[151,33],[212,78],[251,71],[84,135],[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_116><DEPTH_9><DEPTH_69><DEPTH_101><DEPTH_56><DEPTH_32><DEPTH_125><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_32><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_28><DEPTH_75><DEPTH_32><DEPTH_56><DEPTH_56><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_9><DEPTH_28><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[168,27],[242,59],[251,71],[84,135],[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¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, 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¥, ðĿĻ®, á¸ĥ, áĬĴ, à°µ, áĭ©, ðŁİij], [Ýĵ, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij]]."
]
}
|
[[168,27],[242,59],[251,71],[84,135],[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_116><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_56><DEPTH_56><DEPTH_116><DEPTH_74><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_55><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_9><DEPTH_8><DEPTH_9><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[161,32],[247,59],[252,66],[84,131],[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, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, 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, ðĿĻº, ḻ, áģ¼, à°µ, áĭ©, ðŁİij], [ʶ, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij]]."
]
}
|
[[161,32],[247,59],[252,66],[84,131],[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_116><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_116><DEPTH_55><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_8><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_32><DEPTH_32><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_8><DEPTH_69><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[171,29],[247,59],[252,66],[84,131],[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, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, 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, ðĿĻº, ê³Ĥ, áĮĶ, à°µ, áĭ©, ðŁİij], [Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, ðŁİij]]."
]
}
|
[[171,29],[247,59],[252,66],[84,131],[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_116><DEPTH_9><DEPTH_125><DEPTH_101><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_28><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_75><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_74><DEPTH_74><DEPTH_56><DEPTH_8><DEPTH_8><DEPTH_25><DEPTH_8><DEPTH_69><DEPTH_9><DEPTH_69><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_69><DEPTH_75><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><DEPTH_56><DEPTH_56><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 [[156,38],[251,63],[244,65],[84,131],[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 [[Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, ðŁİij], [ì¼ĩ, ïŃ², âĸ¤, ॱ, à°µ, 里, 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 [[Ȳ, ðĿĻº, íĵ¬, áIJ§, à°µ, áĭ©, ðŁİij], [Ý¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, ðŁİij], [ì¼ĩ, ïŃ², âĸ¤, ॱ, à°µ, 里, ðŁİij]]."
]
}
|
[[156,38],[251,63],[244,65],[84,131],[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_116><DEPTH_9><DEPTH_125><DEPTH_32><DEPTH_32><DEPTH_56><DEPTH_9><DEPTH_25><DEPTH_55><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_69><DEPTH_69><DEPTH_56><DEPTH_75><DEPTH_8><DEPTH_28><DEPTH_74><DEPTH_55><DEPTH_55><DEPTH_74><DEPTH_74><DEPTH_101><DEPTH_32><DEPTH_8><DEPTH_101><DEPTH_74><DEPTH_55><DEPTH_56><DEPTH_69><DEPTH_8><DEPTH_25><DEPTH_8><DEPTH_69><DEPTH_116><DEPTH_69><DEPTH_9><DEPTH_69><DEPTH_56><DEPTH_8><DEPTH_116><DEPTH_8><DEPTH_75><DEPTH_69><DEPTH_28><DEPTH_69><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_32><DEPTH_9><DEPTH_101><DEPTH_75><DEPTH_8><DEPTH_8><DEPTH_101><DEPTH_69><DEPTH_101><DEPTH_75><DEPTH_32><DEPTH_69><DEPTH_32><DEPTH_56><DEPTH_8><DEPTH_32><DEPTH_75><DEPTH_56><DEPTH_32><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 [[171,33],[254,66],[244,65],[84,131],[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¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, ðŁİij], [ì¼ĩ, ïŃ², âĸ¤, ॱ, à°µ, 里, ðŁİij], [íĵ¬, ðIJ±ħ, 嘆, ÔĪ, áĬĴ, ï¦ĥ, 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¥, ðĿĻ°, ðĿĵ¹, áĶħ, à°µ, áī¨, ðŁİij], [áĭ©, ðĿķ¡, ðĿĻ®, âĺµ, à°µ, áĢı, ðŁİij], [áĮĦ, ðĸ¥, áĻ³, âĺµ, à°µ, à°³, ðŁİij], [áĮĦ, ê³Ĥ, âĿª, âĺµ, à°µ, ðŁıĩ, ðŁİij], [áĴĮ, â²¢, ê¦Ķ, âĺµ, à°µ, ðIJŃĵ, ðŁİij], [âĶŀ, ì¼ĩ, á¥Ķ, áĮĶ, à°µ, ï¨Ĥ, ðŁİij], [ì¼ĩ, ïŃ², âĸ¤, ॱ, à°µ, 里, ðŁİij], [íĵ¬, ðIJ±ħ, 嘆, ÔĪ, áĬĴ, ï¦ĥ, ðŁİij]]."
]
}
|
[[171,33],[254,66],[244,65],[84,131],[4,65]]
|
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