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Contact Imitation Interface: Transferring Dexterous Skills by Showing How Contact Unfolds

Summary

The paper presents Contact Imitation Interface (CIMI), a framework with contact-grounded demonstration and learning interfaces that transfers robot-free human dexterous demonstrations to robot hands, improving mean final-stage success by at least 50 percentage points over baselines across six hand-task pairs on LEAP and Wuji.

SourcearXiv RoboticsAuthor: Zhixuan Xu, Yichen Li, Bingchen Wu, Rui Wang, Yiwen Hou, Zixuan Liu, Tianyu Qiu, Lin Shao
Contact Imitation Interface: Transferring Dexterous Skills by Showing How Contact Unfolds
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[Submitted on 29 Oct 2026]

Title:Contact Imitation Interface: Transferring Dexterous Skills by Showing How Contact Unfolds

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Abstract:Robot-free human demonstrations offer a promising route to scaling dexterous manipulation data. The key challenge is to preserve the demonstrator's natural dexterity while producing contact-grounded observations and actions that transfer to robot hands. We present Contact Imitation Interface (CIMI), a framework with contact-grounded demonstration and learning interfaces. The demonstration interface combines shared contact geometry and fingertip RGB views with contact-alignment-first retargeting and reprojection of wider scene views. The learning interface introduces a hierarchical policy in which a contact-surface planner predicts relative contact-surface trajectories and a controller coordinates wrist and finger commands to improve contact alignment. CIMI combines contact-grounded observations, retargeting, and action representations, improving mean final-stage success by at least 50 percentage points over baseline policies across six hand-task pairs on LEAP and Wuji. Hardware designs and software are publicly available.

Comments: 15 pages (8-page main paper and 7-page supplementary material). Project website with code and hardware designs: this https URL

Subjects:

Robotics (cs.RO)

Cite as: arXiv:2610.41028 [cs.RO]

(or arXiv:2610.41028v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2610.41028

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Zhixuan Xu [view email] [v1] Thu, 29 Oct 2026 22:14:31 UTC (14,034 KB)

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Key points

  • CIMI includes a demonstration interface with shared contact geometry, fingertip RGB views, contact-alignment-first retargeting, and reprojection of wider scene views.
  • The learning interface uses a hierarchical policy: a contact-surface planner predicts relative contact-surface trajectories, and a controller coordinates wrist and finger commands.
  • Across six hand-task pairs on LEAP and Wuji, CIMI improves mean final-stage success by at least 50 percentage points over baseline policies.
  • The paper is 15 pages (8-page main paper and 7-page supplementary material), and hardware designs and software are publicly available.

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