CLARU
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berkeley_autolab_ur5_train_400_500

An augmented robotics dataset containing 100 episodes with multi-robot vision and proprioceptive data, featuring cross-embodiment trajectory augmentation for 9 different robot platforms including Franka Panda, UR5, and others.

Downloads276
Episodes100

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented trajectories across multiple robot platforms, addressing the challenge of generalizing manipulation skills across different robot morphologies.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
google_robotjacokinova3kuka_iiwapandasawyerwidowXxarm7
Action Space
joint_positions
Environment
lab
Task Types
manipulation
Episodes
100
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-Aug family

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