Ravenh972026other

RoboRender videogen rollout dataset

A collection of 2000 chunks of 81-step rollout trajectories (45.4 GiB total) generated using the fast_roborender video-generation pipeline for sim2real transfer learning. Contains synchronized multi-view RGB-D observations, proprioceptive state, ground-truth actions, and generated video frames.

Downloads23
Episodes2000

Why This Matters for Physical AI

This dataset bridges simulation and real-world robotics by providing large-scale video-generation-based rollouts with paired ground-truth actions, enabling training of visual sim2real transfer policies for robot manipulation.

Technical Profile

Modalities
rgbdepthproprioceptionlanguage
Action Space
joint_positions
Environment
simulation
Episodes
2000
Data Format
npz
Annotation Types
language_instructionsaction_labels
License
other
Part of the GR00T-VisualSim2Real family

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