Sung-Hua Chen

Papers

Total Citations

116

H-Index

About

Sung-Hua Chen is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent assistive systems for upper limb recovery. His major contributions lie in designing control systems that integrate force/torque sensors and dynamic human models to enable adaptive, patient-responsive therapy. Chen’s most influential work, "Assistive Control System for Upper Limb Rehabilitation Robot" (2016), has garnered 110 citations, demonstrating its impact on the field. This paper introduces a kinematic structure that supports three rehabilitation modes—active, assistive, and passive—allowing for personalized treatment that adjusts to a patient’s real-time effort and needs. Additionally, Chen has advanced bilateral arm training techniques, as seen in his 2015 study on the NTUH-II robot, which combines IMU-based control with exoskeleton technology to aid patients with neurologic and orthopedic disorders. Though this work has fewer citations, it underscores his commitment to translating novel physical therapy concepts into practical robotic solutions. Chen’s research bridges engineering and clinical rehabilitation, offering scalable, sensor-driven approaches that enhance motor function recovery. His work is essential reading for students and researchers interested in human-robot interaction, assistive technology, and neurorehabilitation engineering.