Papers
1
Total Citations
2
H-Index
1
About
Suyong Kim is a researcher whose work lies at the intersection of surgical robotics and haptic sensing, with a focus on enhancing the precision and safety of minimally invasive procedures. His key contributions center on developing methods to estimate forces applied to surgical instrument tips, a critical challenge in robot-assisted surgery. In his notable 2017 study, Kim introduced a novel approach that measures reaction forces via sensors attached to the drape plate and trocar support, while also accounting for the gravitational effects that vary with the slave robot’s posture. This work addresses a fundamental source of inaccuracy in force estimation, as gravity-induced sensor noise can significantly degrade performance. Although his most-cited paper has garnered 2 citations, the technical depth and practical relevance of his research have positioned him as a thoughtful contributor to the field of surgical mechatronics. Kim’s work is particularly valuable for students and engineers seeking to understand the interplay between sensor calibration, robot kinematics, and real-world surgical constraints, offering a foundation for future innovations in haptic feedback and autonomous surgical assistance.
Research Focus
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Top Papers
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