--- license: cc-by-nc-4.0 task_categories: - robotics tags: - robotics - tactile - force - contact-rich-manipulation - zarr pretty_name: PhaForce Dataset --- # PhaForce Dataset This repository hosts the real-robot contact-rich manipulation dataset used by **PhaForce: Phase-Scheduled Visual-Force Policy Learning with Slow Planning and Fast Correction for Contact-Rich Manipulation**. Project page: https://thu-wangmx.github.io/phaforce/ ## Contents The dataset is converted to FTP-1 / Open-X-Tactile-style zarr keys. Each task is stored as one zarr group: - `open_drawer.zarr`: 50 trajectories, 21,653 frames - `plug_in_charger.zarr`: 100 trajectories, 40,095 frames - `plug_in_usb.zarr`: 60 trajectories, 21,245 frames - `wiping_board.zarr`: 50 trajectories, 33,877 frames Total: 260 trajectories, 116,870 frames. ## Key Mapping - `camera_main_rgb`: external RGB camera, `(T, 240, 320, 3)` - `left_wrist_camera_rgb`: wrist RGB camera, `(T, 240, 320, 3)` - `left_wrist_pose`: TCP pose converted from 9D pose to `(x, y, z, rotvec)`, `(T, 6)` - `left_arm_joints`: robot arm joints, `(T, 7)` - `left_hand_joints`: gripper width, `(T, 1)` - `left_hand_joints_idx`: gripper scalar index, filled with `28` - `left_tactile_data_wrench`: 6D TCP wrench state, `(T, 6, 1)` - `left_tactile_area_wrench`: function-area ids, filled with `[15, 16, 17, 18, 19, 20]` - `left_tactile_sensor_wrench`: `FlexivGripperTorque` - `left_tactile_type_wrench`: `state` - `sub_task_instruction`: per-step task instruction The original empty `right_wrist_img` stream is intentionally not exported. ## Citation ```bibtex @inproceedings{wang2026phaforce, title={PhaForce: Phase-Scheduled Visual-Force Policy Learning with Slow Planning and Fast Correction for Contact-Rich Manipulation}, author={Wang, Mingxin and Yue, Zhirun and Lu, Renhao and Li, Yizhe and Wang, Zihan and Pan, Guoping and Dong, Kangkang and Cheng, Jun and Cheng, Yi and Liu, Houde}, booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, year={2026} } ```