A Novel Seamless Magnetic-Based Actuating Mechanism for End-Effector-Based Robotic Rehabilitation Platforms

Rehabilitation robotics continues to confront sub-stantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training. Many current systems depend on complex mechanical designs, direct physical contact, and multiple sensors, which not only elevate costs but also reduce accessibility. Additionally, delivering seamless weight compensation and precise motion tracking remains a highly complex undertaking. To overcome these obstacles, we have developed a novel magnetic-based actuation mechanism for end-effector robotic rehabilitation. This innovative approach enables smooth, non-contact force transmission, significantly enhancing patient safety and comfort during upper limb training. To ensure consistent performance, we integrated an Extended Kalman Filter (EKF) alongside a controller for real-time position tracking, allowing the system to maintain high accuracy or recover even in the event of sensor malfunction or failure. In a user study with 12 participants, 75% rated the system highly for its smoothness, while 66.7% commended its safety and effective weight compensation. The EKF demonstrated precise tracking performance, with root mean square error (RMSE) values remaining within acceptable limits (under 2 cm). By combining magnetic actuation with advanced closed-loop control algorithms, this system marks a significant advancement in the field of upper limb rehabilitation robotics.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-03-17
DOI
https://doi.org/10.1109/lra.2025.3551959
Citations
5
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
6.07
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article

A Novel Seamless Magnetic-Based Actuating Mechanism for End-Effector-Based Robotic Rehabilitation Platforms

Sima Ghafoori, Reza Abiri, Musa K. Jouaneh, Ali Rabiee et al.
5 citations
IEEE Robotics and Automation Letters
Robotics and Automated Systems
6.07
article

A Novel Seamless Magnetic-Based Actuating Mechanism for End-Effector-Based Robotic Rehabilitation Platforms

Sima Ghafoori, Reza Abiri, Musa K. Jouaneh, Ali Rabiee, Maryam Norouzi
article en
5 citations

Abstract

Rehabilitation robotics continues to confront sub-stantial challenges, particularly in achieving smooth, safe, and intuitive human-robot interactions for upper limb motor training. Many current systems depend on complex mechanical designs, direct physical contact, and multiple sensors, which not only elevate costs but also reduce accessibility. Additionally, delivering seamless weight compensation and precise motion tracking remains a highly complex undertaking. To overcome these obstacles, we have developed a novel magnetic-based actuation mechanism for end-effector robotic rehabilitation. This innovative approach enables smooth, non-contact force transmission, significantly enhancing patient safety and comfort during upper limb training. To ensure consistent performance, we integrated an Extended Kalman Filter (EKF) alongside a controller for real-time position tracking, allowing the system to maintain high accuracy or recover even in the event of sensor malfunction or failure. In a user study with 12 participants, 75% rated the system highly for its smoothness, while 66.7% commended its safety and effective weight compensation. The EKF demonstrated precise tracking performance, with root mean square error (RMSE) values remaining within acceptable limits (under 2 cm). By combining magnetic actuation with advanced closed-loop control algorithms, this system marks a significant advancement in the field of upper limb rehabilitation robotics.

IEEE Robotics and Automation LettersVol. 10(5)
University of Rhode Island (US)
Openalex Percentile: Top 4%
Robotics and Automated Systems
6.07
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A Novel Seamless Magnetic-Based Actuating Mechanism for End-Effector-Based Robotic Rehabilitation Platforms — Sima Ghafoori, Reza Abiri, et al. · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS