oxe-augecc-by-4.0

bridge_train_15000_20000_augmented

Name: bridge_train_15000_20000_augmented
Creator: oxe-auge
License: cc-by-4.0
Keywords: rgb, proprioception, manipulation, lab

An augmented version of the Bridge dataset containing 5,000 episodes with cross-robot visual and kinematic augmentations for 9 different robot embodiments. The dataset uses domain randomization to generate robot-specific observations from source trajectories.

Downloads138
Episodes5000

Why This Matters for Physical AI

This dataset enables cross-embodiment learning by providing augmented visual and kinematic observations across multiple robot platforms, facilitating the development of embodiment-agnostic manipulation policies.

Technical Profile

Modalities: rgbproprioception
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

Community Signals

Academic Citations12

Beyond performance: Explaining generalisation failures of Robotic Foundation Models in industrial simulation2025 · Biomimetic Intelligence and Robotics
Empowering natural human–robot collaboration through multimodal language models and spatial intelligence: Pathways and perspectives2025 · Robotics and Computer-Integrated Manufacturing
KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation Without Robot Data2025

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