oxe-augecc-by-4.0

jaco_play_test_0_108

An augmented version of the CLVR Jaco Play dataset with cross-embodiment augmentations for 9 different robot platforms (Google Robot, Kinova3, KUKA IIWA, Franka Panda, Sawyer, UR5e, WidowX, and xArm7). The dataset contains 108 episodes with augmented visual observations and robot-specific joint positions and end-effector poses.

Downloads79
Episodes108
Likes1

Why This Matters for Physical AI

This dataset enables research on cross-embodiment learning and robot augmentation by providing the same manipulation tasks represented across multiple robot morphologies with automatically generated visual augmentations and corresponding kinematic adjustments.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
google_robotkinova3kuka_iiwapandasawyerur5ewidowXxarm7
Action Space
joint_positions
Environment
lab
Task Types
manipulation
Episodes
108
Data Format
RLDS
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

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