Papers
13
Total Citations
220
H-Index
8
About
Hansoul Kim is a leading researcher in surgical robotics, with a focus on minimally invasive surgery (MIS) and flexible endoscopic systems. His work addresses critical challenges in robot-assisted surgery, including safety, precision, and tissue interaction. Kim’s major contributions include the development of a three-degrees-of-freedom passive gravity compensation mechanism for robotic arms with remote center of motion (RCM), enhancing safety in MIS (45 citations). He also pioneered an ultra-soft, highly stretchable tissue-adhesive hydrogel-based implantable sensor for monitoring overactive bladder (43 citations), demonstrating a novel approach to biocompatible sensing. His research on path planning for surgical robots using probabilistic roadmaps and reinforcement learning (40 citations) advances automation in laparoscopy. Kim has also tackled backlash hysteresis in tendon-driven flexible robots and developed the sigmoidal auxiliary tendon-driven mechanism to reinforce structural stiffness in hyper-redundant manipulators. Notable achievements include the K-COLON robot for colonoscopy and the bioinspired PufferFace Robot for cavity exploration. With over 200 citations across his top papers, Kim’s work is shaping the future of safe, intelligent, and adaptive surgical robotics.
Research Focus
Key Achievements
Top Papers
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