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About

Wen-Shiang Chen is a leading researcher in neurorehabilitation engineering, specializing in robotic systems for upper limb recovery after stroke. His work bridges robotics, human-machine interaction, and clinical therapy, with a focus on developing assistive control systems that adapt to patients’ needs. His most cited paper (110 citations) introduces an assistive control system for an upper limb rehabilitation robot, integrating force/torque sensors and a dynamic human model to enable three rehabilitation modes—active, assistive, and passive—enhancing patient engagement and recovery. Chen further advanced the field by demonstrating that robotic priming combined with mirror therapy and movement-oriented therapy can significantly improve arm function in chronic stroke patients (20 citations). He also contributed to hand rehabilitation with a joint localizer for finger length measurements, essential for customizing hand exoskeletons. Beyond robotics, Chen explored optical technologies, such as concentric polymer-dispersed liquid crystal rings for light modulation (37 citations). His work has practical clinical impact, as evidenced by the development of an arm exoskeleton rehabilitation robot with an assistive system for post-stroke patients (15 citations). Chen’s research is distinguished by its integration of engineering precision with therapeutic efficacy, offering scalable solutions for stroke rehabilitation. His recent work on outcome measures for bilateral upper limb function (2024) underscores his ongoing commitment to improving assessment tools in stroke recovery.