TouchBridge: Tactile-Conditioned Human-to-Robot Transfer for Dexterous Manip
Overview
This paper presents TouchBridge, a framework for transferring human demonstrations to robot manipulation using tactile sensing and contact alignment. The method enables direct conversion of human demonstrations into robot-domain training data without requiring object meshes or physics simulations, achieving 72.5% success rate in real-world tasks.
From arXiv Robotics — research abstracts
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- 2026-10-31T17:50:18.903Z · evidence updated · source revision 1. Evidence extraction was updated; current source attributions are shown above.
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- arXiv Robotics — research abstractsSignalTouchBridge: Tactile-Conditioned Human-to-Robot Transfer for Dexterous Manipulation
This paper presents TouchBridge, a framework for transferring human demonstrations to robot manipulation using tactile sensing and contact alignment. The method enables direct conversion of human demonstrations into robot-domain training data without requiring object meshes or physics simulations, achieving 72.5% success rate in real-world tasks.
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