CLARU
oxe-auge2025cc-by-4.0

fractal20220817_data_train_5000_7500_augmented

An augmented robotics dataset containing 2,500 episodes with cross-embodiment visual and proprioceptive data for 8 robot platforms (Jaco, Kinova3, KUKA iiwa, Panda, Sawyer, UR5e, xArm7) generated from the OXE-AugE project.

Downloads63
Episodes2500

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented visual and proprioceptive observations across multiple robot platforms, facilitating the development of generalizable robot control policies.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
JacoKinova3KUKA iiwaPandaSawyerUR5exArm7
Environment
lab
Task Types
manipulation
Episodes
2500
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

Access

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