Papers
11
Total Citations
197
H-Index
6
About
Deokwon Yun is a robotics and rehabilitation engineering researcher whose work sits at the intersection of human-robot interaction, assistive exoskeleton design, and intelligent control systems. His research has focused predominantly on developing advanced control strategies for upper and lower limb exoskeleton robots, addressing one of the field's most pressing challenges: enabling machines to seamlessly adapt to the complex, variable dynamics of the human body. Yun's most impactful contributions include his development of passivity-based adaptive control and adaptive impedance control frameworks for upper extremity exoskeletons, garnering 48 and 41 citations respectively, which pushed the research community toward more dexterous, human-aware robotic designs. His 2017 work on estimating desired motion intention added a critical layer of intelligence to assistive systems, accumulating 34 citations. Beyond the upper limb, Yun extended his expertise to gait rehabilitation, demonstrating the clinical feasibility of a portable walking-assist robot (WA-H) for stroke-induced hemiplegic patients across a rigorous 12-week treadmill-based trial. His investigations into robust sliding mode control and H-infinity impedance methods further underscore his commitment to reliable, safe human-robot interaction. Collectively, Yun's portfolio reflects a career dedicated to translating sophisticated control theory into tangible rehabilitation outcomes for neurologically impaired patients.
Research Focus
Key Achievements
Top Papers
- 1Passivity based adaptive control for upper extremity assist exoskeleton48 citations · 2016
- 2Adaptive impedance control for upper limb assist exoskeleton41 citations · 2015
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- 6Upper extremity assist exoskeleton robot8 citations · 2014
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