Kyeong-Won Park
Papers
3
Total Citations
69
H-Index
3
About
Kyeong-Won Park is a leading researcher in the field of robotic rehabilitation, specializing in the development of intelligent, adaptive control systems for powered lower-limb exoskeletons. His work focuses on solving two critical challenges for individuals with complete paraplegia and spinal cord injuries (SCI): achieving high-precision motion and enabling human-robot synergy. Park’s major contributions include pioneering "Iterative Learning of Human Behavior" to allow exoskeletons to adapt their gait patterns in real-time, moving beyond rigid, predefined trajectories. He also developed a "Hybrid Filtered Disturbance Observer" for precise motion generation and the "ObsNet" system, a data-driven model for accurate gait phase recognition using estimated forces. With his most cited works accumulating over 70 citations since 2022, Park’s research is highly influential in advancing safe, effective, and personalized robotic assistance. His notable achievement of creating adaptive control frameworks that respond to user-specific biomechanics represents a significant leap toward restoring mobility and independence for people with motor impairments, making him a key figure in the future of wearable robotic technology.
Research Focus
Key Achievements
Top Papers
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