Jintian Yun
Papers
9
Total Citations
140
H-Index
5
About
Jintian Yun is a leading researcher in the field of surgical robotics, with a primary focus on robotically assisted minimally invasive surgery (MIS) and micro-surgery. Yun’s major contributions center on enhancing surgical precision and safety through force feedback, tremor suppression, and advanced control systems. Their most cited work, "External force estimation and implementation in robotically assisted minimally invasive surgery" (61 citations), addresses the critical lack of force sensing in current robotic systems, implementing solutions on the da Vinci research kit to improve haptic feedback. Yun also pioneered the "Microhand" system (30 citations), a master-slave robotic platform with force feedback for micro-surgery, and developed innovative algorithms to counteract surgeon hand tremor, such as the zero phase adaptive fuzzy Kalman filter (16 citations) and a fuzzy neural network sliding mode controller (13 citations). These contributions directly tackle motion control challenges, including vibration from nonlinear friction and unmodeled dynamics. Additionally, Yun has advanced haptic device design with gripping force feedback and kinematic modeling for tendon-driven robotic instruments, enabling more compact and precise surgical tools. With over 140 total citations across their work, Yun’s research is pivotal for the next generation of safer, more intuitive robotic surgery systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Robotic System with Force Feedback for Micro-Surgery30 citations · 2006
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- 5Haptic Device with Gripping Force Feedback8 citations · 2006
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