Yicong Sun
Papers
1
Total Citations
38
H-Index
1
About
Dr. Yicong Sun is a leading researcher in robotic-assisted minimally invasive surgery, with a focus on autonomous endoscope manipulation and advanced control systems. Their key research areas include visual servoing, adaptive neural networks, and surgical robotics. Dr. Sun's most notable contribution is the development of a 4-DOF visual servoing system for robotic flexible endoscopes, featuring a predefined-time convergent and noise-immune adaptive neural network. This work, published in 2023 and already garnering 38 citations, addresses the critical challenge of autonomous endoscope manipulation by overcoming the misorientation effect that has long hindered robotic surgical systems. By enabling precise, real-time control that is robust to noise and converges within a predetermined timeframe, Dr. Sun's research significantly reduces surgeons' workload while enhancing procedural accuracy. Their innovative approach to integrating adaptive neural networks with visual servoing represents a major advancement in making autonomous endoscope operation clinically viable. Dr. Sun's work is highly influential in the surgical robotics community, offering practical solutions that bridge the gap between theoretical control systems and real-world surgical applications.
Research Focus
Key Achievements
Top Papers
- 1