Chang-Kyu Park
Papers
2
Total Citations
14
H-Index
2
About
Chang-Kyu Park is a researcher in rehabilitation robotics and human–machine interaction, with a focus on assistive technologies for aging populations. His work centers on developing intelligent control systems that adapt to human physiological signals, particularly through electromyography (EMG)-based variable impedance control. In his highly cited 2017 study, Park introduced an EMG-driven robotic system for elbow exercise, enabling adaptive assistance that responds to muscle activity—a critical innovation for age-related muscle decline. This work, with 8 citations, laid groundwork for personalized rehabilitation. He further advanced human–robot collaboration in his 2019 paper on ultrasound scanning robots, where he employed genetic algorithms to optimize feedback force gain, achieving safer and more efficient medical procedures. Though early in his career, Park’s contributions bridge biomechanics and machine learning, offering scalable solutions for geriatric care and robotic-assisted therapy. His research underscores a commitment to enhancing quality of life through adaptive, user-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2