Minimally-Back-Drivable Robots for Rehabilitation: Path-Adherent Permissiveness Control via Trajectory Adaptation

In pursuit of effective robot-assisted rehabilitation, it is imperative that the robot facilitates rather than hinders the patient's self-movements in appropriate directions. This essential attribute, termed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">permissiveness</i>, is often lacking in conventional industrial robots. In this letter, an innovative approach is introduced, enabling the robot to provide a controlled degree of permissiveness in specified directions. Central to the method is a novel mapping function that dynamically adjusts the desired trajectory along the therapeutic path in response to the patient's monitored physical effects. The proposed approach is agnostic to the type of controlled robot employed, rendering even minimally-back-drivable robots viable for rehabilitation purposes. The letter outlines the approach's diverse facets and potential applications, including an iterative phase-based support adaptation policy, and a series of experiments showcasing the practical feasibility.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-06-11
DOI
https://doi.org/10.1109/lra.2025.3578848
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Minimally-Back-Drivable Robots for Rehabilitation: Path-Adherent Permissiveness Control via Trajectory Adaptation

Erfan Shahriari, Johannes Lachner, Neville Hogan
IEEE Robotics and Automation Letters
Prosthetics and Rehabilitation Robotics
article

Minimally-Back-Drivable Robots for Rehabilitation: Path-Adherent Permissiveness Control via Trajectory Adaptation

Erfan Shahriari, Johannes Lachner, Neville Hogan
article en

Abstract

In pursuit of effective robot-assisted rehabilitation, it is imperative that the robot facilitates rather than hinders the patient's self-movements in appropriate directions. This essential attribute, termed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">permissiveness</i>, is often lacking in conventional industrial robots. In this letter, an innovative approach is introduced, enabling the robot to provide a controlled degree of permissiveness in specified directions. Central to the method is a novel mapping function that dynamically adjusts the desired trajectory along the therapeutic path in response to the patient's monitored physical effects. The proposed approach is agnostic to the type of controlled robot employed, rendering even minimally-back-drivable robots viable for rehabilitation purposes. The letter outlines the approach's diverse facets and potential applications, including an iterative phase-based support adaptation policy, and a series of experiments showcasing the practical feasibility.

IEEE Robotics and Automation LettersVol. 10(8)
Technical University of Munich (DE), Massachusetts Institute of Technology (US)
Reduced inequalities
Openalex Percentile: Top 88%
Prosthetics and Rehabilitation Robotics
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