Papers
8
Total Citations
52
H-Index
5
About
Youngho Kim is a leading researcher at the intersection of rehabilitation robotics, human-machine interfaces, and medical robotic systems. His work focuses on developing intelligent robotic technologies that enhance human physical capabilities and improve clinical outcomes, particularly for older adults and in minimally invasive procedures. Kim's most impactful contribution is his pioneering study on 4-week intensive active-resistive training using an EMG-based exoskeleton robot, which demonstrated significant improvements in muscle strength and antagonist muscle cocontraction control in older people (15 citations). This foundational work has influenced subsequent research in robotic rehabilitation for aging populations. He has also made notable advances in medical robotics commercialization models (10 citations), zero-fluoroscopy transseptal puncture guided by intelligent intracardiac echocardiography robotics (6 citations), and spatial interpolation for robotic sampling (8 citations). More recently, Kim has contributed to quantifying comfort in rehabilitation robot binding parts through physiological measurements including electrodermal activity and tissue oxygen saturation (2024). His work on separable tendon-driven robotic manipulators with flexible proximal sections addresses practical challenges in minimally invasive medical procedures. Through these diverse contributions, Kim continues to shape the development of safer, more effective robotic systems for healthcare and rehabilitation applications.
Research Focus
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