oxe-augecc-by-4.0
berkeley_autolab_ur5_train_0_100
An augmented robotics dataset containing 100 episodes of manipulation tasks with robot-specific image augmentations for 9 different robot embodiments, providing cross-embodiment policy learning data with joint positions, end-effector poses, and natural language instructions.
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Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerwidowXxarm7
- Environment
- lab
- Task Types
- manipulation
- Data Format
- parquet
- License
- cc-by-4.0
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