Minjie Yuan
Papers
1
Total Citations
40
H-Index
1
About
Minjie Yuan is a leading researcher at the intersection of surgical robotics and haptic sensing, with a primary focus on restoring tactile feedback in minimally invasive surgery (MIS). Her seminal review, "Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review" (2020, 40+ citations), has become a foundational reference in the field, systematically mapping the gap between industrial robotic tactile sensors and the unique demands of surgical environments. Yuan’s work critically analyzes how the absence of tactile perception in MIS impairs tissue distinction and surgical maneuvers, proposing novel sensor designs and integration strategies to bridge this divide. Her contributions are instrumental in advancing smart surgical tools that can "feel" tissue stiffness, texture, and force, directly addressing a major limitation of current laparoscopic and robotic systems. By synthesizing over a decade of interdisciplinary research, Yuan has established herself as a key voice in the drive toward more intuitive, safer, and more effective minimally invasive procedures—work that holds profound implications for patient outcomes and the future of computer-assisted surgery.
Research Focus
Key Achievements
Top Papers
- 1