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ArticuBot Simulated Dataset for Trajectories of Articulation (saved in WebDataset Format and splitter into train / val)
Data Format
Each sample in the WebDataset contains:
metadata.json
: Complete metadata including object_id, category, and trajectory infotrajectory.pkl
: Trajectory data with all timestepsinfo.json
: Sample structure information
Sample Structure
Each trajectory contains timesteps with the following data:
state
: Robot state informationaction
: Robot actionspoint_cloud
: Scene point cloudgripper_pcd
: Gripper point clouddisplacement_gripper_to_object
: Spatial displacement vectorsgoal_gripper_pcd
: Goal gripper point cloud
Citation
If you use this dataset in your research, please cite original AricuBot paper:
@inproceedings{Wang2025articubot,
title={ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation},
author={Wang, Yufei and Wang, Ziyu and Nakura, Mino and Bhowal, Pratik and Kuo, Chia-Liang and Chen, Yi-Ting and Erickson, Zackory and Held, David},
booktitle={Robotics: Science and Systems (RSS)},
year={2025}}
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