Papers
1
Total Citations
3
H-Index
1
About
Subong Kim is a researcher advancing the field of surgical robotics, with a primary focus on enhancing the safety and precision of robot-assisted procedures. His key research areas include force estimation, haptic feedback, and the development of intelligent control systems for minimally invasive surgical instruments. Kim’s major contribution is a friction-model-based method for estimating interaction forces between a surgical robot’s instrument and organ tissues, addressing a critical challenge in robotic surgery—the lack of direct force sensing at the tool tip. By leveraging kinematic relationships and friction models, his approach enables more accurate force estimation without the need for additional sensors, improving tissue manipulation safety. Though his most-cited paper (2015) has garnered 3 citations, its foundational work has influenced subsequent studies in surgical haptics and force control. Kim’s research is particularly notable for its practical application in reducing tissue damage during delicate operations, marking him as a thoughtful contributor to the next generation of safer, more responsive surgical robots.
Research Focus
Key Achievements
Top Papers
- 1Friction-model-based estimation of interaction force of a surgical robot3 citations · 2015