Yilun Fan

Papers

Total Citations

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About

Yilun Fan is a researcher at the forefront of medical robotics and intelligent manufacturing, with a primary focus on robot-assisted surgery and flexible object manipulation. His most impactful contribution is the development of a physician-friendly Tool Center Point (TCP) calibration method for robot-assisted puncture surgery, which addresses critical challenges in accuracy stability and operational complexity after tool replacement. This work, published in 2021, has garnered 29 citations, reflecting its practical significance in enhancing surgical precision and usability. Fan’s research extends into the automation of highly deformable materials, as demonstrated by his 2023 study on an image-based visual servo system for operating flexible wires in the 3C (computer, communication, and consumer electronics) industry. This work tackles the notoriously difficult problem of modeling and controlling flexible wire deformation, offering a novel approach to automated assembly. By bridging the gap between surgical robotics and industrial automation, Fan’s contributions are shaping safer, more efficient robotic systems. His work is particularly notable for its emphasis on real-world applicability, making complex robotic calibration and control accessible to non-experts. With a growing citation impact, Yilun Fan is a promising voice in the intersection of robotics, medical technology, and manufacturing innovation.