BlockManip: A MuJoCo-Simulated Robotic Manipulation Dataset
收藏Zenodo2026-05-26 更新2026-05-29 收录
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https://zenodo.org/doi/10.5281/zenodo.20389640
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资源简介：
BlockManip is a MuJoCo-simulated robotic manipulation dataset designed for vision-based pick-and-place and block-stacking evaluation. Each episode records one manipulation trial from a fixed external camera view and contains four phase-level RGB observations: init, grasped, preplace, and final.
This release contains 2,750 episodes, including 2,500 training episodes and 250 evaluation episodes, for a total of 11,000 RGB frames. Each episode includes four RGB images, one episode-level label file, and one trajectory trace file.
The release includes RGB observations, per-episode labels, trajectory traces, train/eval splits, metadata, and SHA-256 checksums for integrity verification. Depth maps and segmentation masks are not included in this release.
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Zenodo创建时间：
2026-05-26
