CLARU
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berkeley_autolab_ur5_train_800_896

An augmented robotics dataset containing 96 episodes with cross-embodiment transformations across 9 different robot platforms (google_robot, jaco, kinova3, kuka_iiwa, panda, sawyer, widowX, xarm7) generated using OXE-Aug v2.1.

Downloads219
Episodes96

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented visual and kinematic observations for multiple robot platforms, addressing the challenge of scaling robot learning across different hardware configurations.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
google_robotjacokinova3kuka_iiwapandasawyerwidowXxarm7
Environment
lab
Episodes
96
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-Aug family

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