Zhiyuan Yan

Harbin Institute of Technology

Papers

16

Total Citations

335

H-Index

9

About

Zhiyuan Yan is a leading researcher in surgical robotics, with a primary focus on minimally invasive surgery (MIS) and human-robot interaction. His work centers on developing intelligent, sensor-driven control systems to enhance the safety and precision of laparoscopic and laryngeal surgical robots. Yan’s major contributions include pioneering variable admittance control using fuzzy reinforcement learning (64 citations), which enables intuitive physical interaction during surgery, and innovative cable-pulley system modeling for position compensation (55 citations) and grasping force estimation (26 citations). He has also advanced force sensing technology, notably through the design of Fiber Bragg Grating (FBG)-based tension sensors (46 citations) and 3-D force sensing strategies for continuum robots (30 citations), addressing critical challenges in sterilizable, space-constrained surgical environments. His work on haptic master manipulators (31 citations) and mechanism optimization (25 citations) has improved master-slave manipulation fidelity. With over 300 total citations across his top papers, Yan’s research bridges control theory, sensor design, and mechanism optimization, making surgical robots safer and more responsive. His achievements include developing hysteresis models for continuum manipulators and eliminating coupled motion in surgical instruments, solidifying his reputation as a key innovator in robot-assisted surgery.

Research Focus

Key Achievements

9
H-Index
16
Papers
335
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Variable Admittance Control Based on Fuzzy Reinforcement Learning for Minimally Invasive Surgery Manipulator
64 citations · 2017
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Harbin Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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