CLARU
oxe-auge2025cc-by-4.0

language_table_train_64000_65000_augmented

An augmented robotics dataset containing 1,000 episodes of language-conditioned manipulation tasks with cross-embodiment support for 8 different robot platforms, generated through domain randomization and robot morphology augmentation.

Downloads74
Episodes1000

Why This Matters for Physical AI

This dataset enables training of cross-embodiment robot policies by providing augmented visual and proprioceptive demonstrations across multiple robot morphologies, advancing generalization in language-conditioned manipulation.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
Google RobotJacoKinova3KUKA iiwaFranka PandaSawyerUR5e
Action Space
joint_positions
Environment
lab
Task Types
manipulationlanguage_conditioned
Episodes
1000
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

Access

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