Papers
5
Total Citations
44
H-Index
4
About
Li Yi-fa is a leading researcher in the field of robot-assisted intravascular interventions, with a primary focus on enhancing the safety and precision of minimally invasive vascular surgeries. His work centers on developing advanced robotic systems and sensing technologies to address critical challenges in percutaneous coronary interventions (PCIs) and catheterization procedures. One of his major contributions is the design of a millinewton-level fiber Bragg grating (FBG)-based distal force sensor, which enables real-time tool-vessel force interaction monitoring—a key advancement for reducing procedural risks. He has also explored interventionists’ technical manipulation skills to improve robotic catheter control, and tackled network time delay issues in master-slave teleoperation systems to ensure reliable remote surgery. Additionally, Li has applied deep learning models, such as an improved U-Net, for image segmentation to enhance visualization and tracking in interventional robots. His most cited works, including papers on force sensing and manipulation analysis, have garnered over 40 citations collectively, reflecting their growing impact. Through these innovations, Li Yi-fa is helping to reduce radiation exposure and orthopedic strain for surgeons while improving patient outcomes in cardiovascular care.
Research Focus
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Top Papers
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