Kyung-Hwan Lee
Papers
3
Total Citations
26
H-Index
3
About
Kyung-Hwan Lee is a leading researcher in the field of robotic rehabilitation, with a primary focus on developing intelligent, patient-cooperative systems for lower-limb and gait therapy. His work addresses a critical challenge in rehabilitation robotics: enabling robots to detect and respond to a patient’s voluntary efforts without relying on expensive or intrusive force/torque sensors. Lee’s most impactful contribution is his pioneering work on force/torque sensorless impedance control, first demonstrated in 2015 for the Walkbot gait rehabilitation system. This approach allows robots to dynamically adjust their assistance based on the patient’s active participation, fostering more natural and effective recovery. His research has since advanced into deep learning, where he developed an emergency stop prediction system for robotic rehabilitation trainers, significantly improving patient safety during autonomous therapy sessions. With his key papers accumulating over 26 citations, Lee’s work is recognized as foundational in the shift toward adaptive, patient-driven robotic therapy. His innovations are directly shaping the next generation of rehabilitation technologies, promising safer, more economical, and highly personalized treatment for individuals with walking impairments.
Research Focus
Key Achievements
Top Papers
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