Contact-aware multi-skill learning framework with hybrid force-motion control for stability and force regulation in robotic physiotherapy
Robot-assisted physiotherapy has attracted increasing attention for its potential to provide repeatable, stable, and controllable physical interaction during rehabilitation-oriented therapy. However, contact-rich physiotherapy tasks remain challenging because the robot must reproduce therapist-demonstrated massage skills while adapting to non-planar and deformable body surfaces, suppressing impact during contact transition, and maintaining stable force regulation. This paper proposes a contact-a
Record details
Published: 6 August 2026
Source: Frontiers in Robotics and AI
Category: Research
Topics: Regulation · Agents & autonomy
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “Contact-aware multi-skill learning framework with hybrid force-motion control for stability and force regulation in robotic physiotherapy,” evidence record 17150, https://ethics.ai/record/17150 (originally published by Frontiers in Robotics and AI).
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