TY - JOUR
T1 - Minimally-Back-Drivable Robots for Rehabilitation
T2 - Path-Adherent Permissiveness Control via Trajectory Adaptation
AU - Shahriari, Erfan
AU - Lachner, Johannes
AU - Haddadin, Sami
AU - Hogan, Neville
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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 permissiveness, 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.
AB - 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 permissiveness, 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.
UR - https://www.scopus.com/pages/publications/105008136206
U2 - 10.1109/LRA.2025.3578848
DO - 10.1109/LRA.2025.3578848
M3 - Article
AN - SCOPUS:105008136206
SN - 2377-3766
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
ER -