Shin Usuda
Papers
8
Total Citations
112
H-Index
5
About
Shin Usuda is a leading researcher at the intersection of robotics and oral surgery, specializing in the development of intelligent, haptic-assisted systems for dental implant procedures. His work focuses on creating robotic platforms that enhance surgical precision and safety by integrating force feedback, stereo vision, and real-time bone density analysis. Usuda’s most cited paper (52 citations) introduces a telerobotic bone-drilling system with bilateral control, scaling both feed operation and cutting force to prevent accidents during high-risk drilling. He further advanced the field with a stereo vision-based navigation system (18 citations) that uses modulated potential fields for cooperative guidance, and a multi-degree-of-freedom haptic robot (15 citations) designed for complex procedures like orthognathic surgery. A key contribution is his frequency-based analysis linking cutting force to CT number (11 citations), enabling objective bone quality classification—a critical step toward data-driven surgical training. His work on real-time CT value estimation and bone density classification provides surgeons with quantitative feedback during drilling, reducing reliance on subjective feel. Through these innovations, Usuda is shaping the future of computer-assisted implant surgery, making procedures safer, more accurate, and more teachable.
Research Focus
Key Achievements
Top Papers
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- 3Development of a Multi DOF Haptic Robot for Dentistry and Oral Surgery15 citations · 2020
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- 6Bone Density Classification Method for Robotic Drilling System3 citations · 2013
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