Yanwen Sun
Papers
10
Total Citations
136
H-Index
7
About
Yanwen Sun is a robotics and biomedical engineering researcher whose work sits at the intersection of computer vision, autonomous control, and robot-assisted minimally invasive surgery (RMIS). With a body of research that has accumulated over 130 citations, Sun has made substantial contributions to advancing the intelligence and autonomy of surgical robotic systems. Sun's most impactful work focuses on deep learning-based surgical instrument perception, including lightweight neural networks for real-time semantic segmentation and articulated joint detection of surgical tools — critical capabilities for enabling robots to understand and interact with complex operative environments. Complementing this, Sun has pioneered semi-autonomous laparoscope control frameworks that adaptively maintain optimal surgical fields of view while respecting safety constraints, significantly reducing surgeon cognitive load during procedures. Beyond vision and control, Sun has addressed practical challenges such as hand-eye calibration, motion hysteresis compensation in cable-driven instruments, and the development of a novel anesthesia airway management robot — demonstrating a broad systems-level perspective on surgical automation. Sun's 2021 segmentation paper alone has earned 44 citations, reflecting its relevance to the rapidly growing field of AI-driven surgical robotics and establishing Sun as a meaningful contributor to next-generation intelligent operating room technology.
Research Focus
Key Achievements
Top Papers
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- 6Development of a Novel Anesthesia Airway Management Robot9 citations · 2021
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