Yung Chuen Tan
Papers
1
Total Citations
36
H-Index
1
About
Yung Chuen Tan is a leading researcher in medical robotics, with a primary focus on haptic feedback systems for flexible endoscopic robots. His work integrates sensor technology and computational modeling to enhance the precision and safety of minimally invasive surgical procedures. Tan's most-cited paper, "An Integrated Sensor-Model Approach for Haptic Feedback of Flexible Endoscopic Robots" (2019), has garnered 36 citations, reflecting its influence in advancing robotic-assisted endoscopy. This contribution addresses a critical challenge in the field—providing surgeons with realistic tactile feedback during flexible endoscopic operations, thereby improving control and reducing tissue damage. Tan's research bridges the gap between sensor design and algorithmic modeling, offering a novel framework that has been adopted in subsequent studies on robotic surgery. His achievements highlight his role in pushing the boundaries of medical robotics, making him a notable figure for students and researchers interested in the intersection of haptics, robotics, and clinical applications.
Research Focus
Key Achievements
Top Papers
- 1