oxe-auge2023cc-by-4.0

bridge_train_0_5000_augmented

An augmented version of the BRIDGE dataset containing 5,000 episodes with multi-robot visual and proprioceptive observations across 9 robot embodiments, featuring cross-robot image synthesis and trajectory adaptation.

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Episodes5000

Why This Matters for Physical AI

This dataset enables cross-robot policy transfer and multi-embodiment learning by providing visually and kinematically augmented demonstrations across diverse robot morphologies, addressing the challenge of embodiment-agnostic skill learning.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
google_robotjacokinova3kuka_iiwapandasawyerur5exarm7
Action Space
joint_positions
Environment
lab
Task Types
manipulation
Episodes
5000
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

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