Kai-Wen Lee

Papers

Total Citations

128

H-Index

About

Dr. Kai-Wen Lee is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent assistive systems for upper limb and hand recovery after neurological injuries like stroke. His work bridges mechanical design, sensor integration, and human-robot interaction to create devices that can adapt to a patient’s real-time needs. Dr. Lee’s most impactful contribution is his 2016 paper on an “Assistive Control System for Upper Limb Rehabilitation Robot,” which has garnered over 110 citations. In this work, he introduced a novel kinematic structure embedded with force/torque sensors and a dynamic human model to simulate patient interaction, enabling three distinct rehabilitation modes—active, assistive, and passive. This system allows for more personalized and quantifiable therapy, a significant step beyond traditional repetitive exercise. His earlier foundational work in 2012 laid the groundwork for robot-assisted stroke rehabilitation, emphasizing the critical role of exercise dosage. Dr. Lee has also contributed to the field of hand rehabilitation, developing a joint localizer for precise finger length measurements, a necessary calibration step for hand exoskeletons. Through these innovations, Dr. Lee is advancing the frontier of patient-centered, data-driven rehabilitation technology.