CLARU
oxe-augecc-by-4.0

iamlab_cmu_pickup_insert_train_400_500_augmented

An augmented robotics dataset for pickup and insert tasks containing 100 episodes with cross-robot vision and proprioception data generated through domain randomization techniques.

Downloads74
Episodes100

Why This Matters for Physical AI

This dataset demonstrates cross-robot domain adaptation through augmented visual observations and proprioceptive data, enabling the development of generalizable manipulation skills across multiple robot embodiments.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
google_robotjacokinova3kuka_iiwasawyerur5ewidowXxarm7
Action Space
joint_positions
Environment
lab
Task Types
pick_and_placeinsertion
Episodes
100
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

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