Koyo Yu
Papers
9
Total Citations
67
H-Index
5
About
Koyo Yu is a researcher at the forefront of medical robotics, specializing in the intersection of robot-assisted surgery, haptic feedback systems, and rehabilitation engineering. His primary contributions lie in developing intelligent navigation and control systems for dental implant surgery, where he has pioneered the use of stereo vision and modulated potential fields to enhance surgical precision. Yu’s work on the "Stereo vision based robot navigation system using modulated potential field for implant surgery" (18 citations) introduced a cooperative guidance system that significantly improves the accuracy of implant placement, while his nonlinear stability analysis for disturbance observer-based robot control (12 citations) provided a more robust theoretical foundation for motion control in surgical robots. He has also advanced bone density classification methods for robotic drilling, enabling real-time estimation of CT values from cutting force and torque data—a critical step toward objective, data-driven surgical decision-making. Beyond dental applications, Yu has contributed to stroke rehabilitation with a robotic finger system controlled via surface EMG signals, and to surgical training through motion reproduction systems using haptic forceps. His work consistently bridges theoretical control engineering with practical clinical needs, earning him recognition as a key innovator in the field of medical robotics.
Research Focus
Key Achievements
Top Papers
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- 7Bone Density Classification Method for Robotic Drilling System3 citations · 2013
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