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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 info
  • trajectory.pkl: Trajectory data with all timesteps
  • info.json: Sample structure information

Sample Structure

Each trajectory contains timesteps with the following data:

  • state: Robot state information
  • action: Robot actions
  • point_cloud: Scene point cloud
  • gripper_pcd: Gripper point cloud
  • displacement_gripper_to_object: Spatial displacement vectors
  • goal_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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