oxe-auge2025cc-by-4.0
berkeley_autolab_ur5_train_200_300
An augmented robotics dataset containing 100 episodes with multi-robot trajectory data across 9 different robot embodiments, including RGB images and proprioceptive observations with cross-embodiment pose transformations.
Downloads136
Episodes100
Why This Matters for Physical AI
This dataset enables cross-embodiment policy learning by providing augmented trajectory data across multiple robot platforms with automatically transformed poses and images, facilitating generalization of manipulation skills across different robot morphologies.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerwidowXxarm7
- Environment
- lab
- Episodes
- 100
- Data Format
- parquet
- Annotation Types
- language_instructions
- License
- cc-by-4.0
Access
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