Young Gyun Kim

Papers

Total Citations

H-Index

About

Young Gyun Kim is pioneering the next generation of human-robot interaction in surgery, focusing on ergonomic, multimodal control systems that reduce physical strain on surgeons. His key research areas span surgical robotics, virtual reality (VR) vision systems, and lightweight, unconstrained control interfaces. Kim’s major contributions include the development of a multimodal virtual vision platform for surgical robots, which serves as a next-generation vision system to enhance depth perception and reduce chronic fatigue from fixed postures. His work on a VR goggle-based vision system for robotic surgery further advances immersive, head-mounted displays to improve surgical precision and comfort. Notably, Kim introduced an unconstrained, lightweight control interface using the MediaPipe framework and a head-mounted display, enabling intuitive, hands-free operation that alleviates neck pain and joint fatigue. With top papers accumulating 8, 6, and 5 citations respectively, his research is gaining traction for addressing critical ergonomic bottlenecks in minimally invasive surgery. By integrating computer vision and wearable technology, Kim is shaping a future where surgical robots are not only more capable but also safer and more comfortable for the surgeons who operate them.