CLARU
oxe-auge2025cc-by-4.0

fractal20220817_data_train_52500_55000_augmented

An augmented robotics dataset containing 2,500 episodes with multi-robot visual and kinematic observations across 8 robot embodiments (Jaco, Kinova3, KUKA IIWA, Panda, Sawyer, UR5e, xArm7). The dataset includes natural language instructions and end-effector poses rendered for cross-embodiment policy learning.

Downloads70
Episodes2500

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented visual and kinematic data across multiple robot platforms, addressing the challenge of scaling imitation learning to diverse robot morphologies.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
JacoKinova3KUKA IIWAPandaSawyerUR5exArm7
Action Space
joint_positions
Environment
lab
Task Types
manipulation
Episodes
2500
Data Format
parquet
Annotation Types
language_instructionsaction_labels
License
cc-by-4.0
Part of the OXE-AugE family

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