ManipForce: Force-Guided Policy Learning with Frequency-Aware Representation for Contact-Rich Manipulation
Paper • 2509.19047 • Published
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A mirror of the six task archives released by the authors of ManipForce, exactly as published (byte sizes verified against the authors' Google Drive listing, 2026-10-29). Nothing inside the zips was modified.
One zip per task. Each zip unpacks to a single zarr directory store <Task>.zarr/ (Battery_Insertion.zip unpacks to Battery_assembly.zarr/), readable with zarr.open("<Task>.zarr", mode="r"):
data/handeye_cam_1, data/handeye_cam_2: the two hand-eye RealSense streams of the hand-held gripperdata/state, data/pose_wrt_start: TCP pose relative to the first frame of the episodedata/action: frame-to-frame delta pose in the TCP frame plus the binary open/close flagdata/ft_data, data/ft_timestamps: AIDIN AFT200 wrist force/torque samples (gravity compensated)data/img_timestamps: wall-clock frame timestampsmeta/episode_ends, meta/episode_img_ends, meta/episode_ft_ends: episode boundaries of each stream| zip | task | GB |
|---|---|---|
Battery_Insertion.zip |
Battery Insertion | 46.9 |
Battery_disassembly.zip |
Battery Disassembly | 42.7 |
Box_flipping.zip |
Box Flipping | 21.6 |
Gear_assembly.zip |
Gear Assembly | 29.3 |
LAN_insertion.zip |
LAN Plug Insertion | 44.6 |
Open_lid.zip |
Open Lid | 40.8 |
| total | 6 tasks | 225.9 |
MIT, the license stated for the dataset on the authors' listing (https://umi-data.github.io).
@inproceedings{lee2026manipforce,
title = {ManipForce: Force-Guided Policy Learning with Frequency-Aware Representation for Contact-Rich Manipulation},
author = {Lee, Geonhyup and Lee, Yeongjin and Kim, Kangmin and Lee, Seongju and Noh, Sangjun and Back, Seunghyeok and Lee, Kyoobin},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
year = {2026},
url = {https://arxiv.org/abs/2509.19047}
}