Byeong Soo Kim

Seoul National University

Papers

6

Total Citations

28

H-Index

4

About

Byeong Soo Kim is a forward-thinking engineer whose research bridges robotic surgery, human–machine interfaces, and industrial automation. His primary contributions lie in developing next-generation vision and control systems for surgical robots, with a focus on ergonomics and accessibility. Kim’s most cited work, “A multimodal virtual vision platform as a next-generation vision system for a surgical robot” (2024, 8 citations), introduces a novel approach to reducing surgeon fatigue by replacing fixed stereoscopic displays with a VR goggle-based system. This is complemented by his 2024 study on an unconstrained lightweight control interface using the MediaPipe framework and head-mounted displays, which aims to eliminate bulky input devices and alleviate neck, wrist, and finger strain during prolonged procedures. Earlier in his career, Kim made notable contributions to manufacturing automation, including heat treatment automation for car-body molds and kinematic analysis of redundantly actuated parallel robots. With over 25 citations across his top papers, Kim’s work is gaining traction for its potential to make robotic surgery more intuitive and less physically demanding, positioning him as an emerging innovator in surgical robotics and human-centered design.

Research Focus

Key Achievements

4
H-Index
6
Papers
28
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A multimodal virtual vision platform as a next-generation vision system for a surgical robot
8 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Seoul National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago