Hojin Song
Papers
2
Total Citations
5
H-Index
2
About
Hojin Song is a robotics researcher whose work focuses on advancing surgical robotics for minimally invasive and interventional procedures. His key contributions lie in the design and development of robotic systems that enhance precision and control in constrained surgical environments. Notably, Song led the development of a human arm-like surgical robot system with force reflection measurement, enabling haptic feedback for improved dexterity and safety during minimally invasive surgery. He also engineered a multifunctional end-effector for interventional surgery robots, specifically designed to operate within the tight confines of a CT bore. This end-effector features a compact, radioparent gripper that minimizes imaging artifacts, directly addressing a critical challenge in image-guided interventions. While his most-cited works have garnered modest citation counts (3 and 2 citations, respectively), they represent foundational steps in creating more intuitive and effective surgical tools. Song’s research bridges mechanical design and clinical application, contributing to the evolution of robots that can work alongside surgeons in complex, space-limited operating rooms.
Research Focus
Key Achievements
Top Papers
- 1
- 2