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| license: apache-2.0 |
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| # GigaBrain Challenge 2026 – Task 5 VLA Policy Model |
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| This repository provides the **Vision-Language-Action (VLA) policy model for Task 5** of the **GigaBrain Challenge 2026**. |
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| Official Challenge Website: |
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| https://gigaai-research.github.io/GigaBrain-Challenge-2026/ |
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| The GigaBrain Challenge aims to advance research in **embodied intelligence**, including: |
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| - Vision-Language-Action (VLA) models |
| - world models |
| - robot learning systems |
| - closed-loop embodied agents |
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| # Task Overview |
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| **Task 5** is one of the official tasks in the GigaBrain Challenge 2026 benchmark suite. |
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| Each task evaluates an embodied agent’s ability to generate actions based on multimodal observations and task instructions. |
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| For full task descriptions please refer to: |
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| https://gigaai-research.github.io/GigaBrain-Challenge-2026/index.html#tracks |
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| # Model Description |
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| This repository contains the **VLA policy model used for Task 5**. |
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| The model is designed to: |
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| - take **visual observations and language instructions** as input |
| - generate **robot actions** |
| - interact with a **world model** in a closed-loop evaluation environment |
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| The VLA model serves as the **action generation component** in the challenge evaluation pipeline. |
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| During evaluation: |
| Observation → VLA Model → Action → World Model → Next Observation |
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| This loop continues until the task is completed or the episode terminates. |
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| Participants may use this model as: |
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| - a reference implementation |
| - a starting point for model development |
| - a component in their own embodied AI systems |
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| # Dataset |
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| The dataset for all tasks is provided in the official challenge dataset repository: |
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| https://huggingface.co/datasets/open-gigaai/CVPR-2026-WorldModel-Track-Dataset |
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| Access requires: |
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| - Team registration |
| - Agreement to the challenge license |
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| Please request access on the dataset page. |
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| # License and Usage Terms |
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| This model is released as part of the GigaBrain Challenge 2026. |
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| Use of this model and the associated datasets is governed by the GigaBrain Challenge 2026 Data & Model License Agreement. |
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| Key terms include: |
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| Intended for research and competition participation |
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| Dataset redistribution is not permitted |
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| Commercial use requires permission from the organizers |
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| For full license terms please refer to the dataset repository: |
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| https://huggingface.co/datasets/open-gigaai/CVPR-2026-WorldModel-Track-Dataset |
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| # Citation |
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| If you use this model or dataset in academic research, please cite the challenge: |
| ```bibtex |
| @misc{gigabrain_challenge_2026, |
| title={GigaBrain Challenge 2026}, |
| year={2026}, |
| howpublished={https://gigaai-research.github.io/GigaBrain-Challenge-2026/} |
| } |
| ``` |
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| # Disclaimer |
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| This model is provided as-is without warranty of any kind. |
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| The organizers are not responsible for any issues arising from its use. |
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| # Contact |
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| For questions about the challenge, please visit the official website: |
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| https://gigaai-research.github.io/GigaBrain-Challenge-2026/ |
