Xufeng Xiao

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About

Xufeng Xiao is a leading researcher in the field of robotic-assisted endovascular surgery, with a primary focus on developing intelligent systems for catheter-based interventions. His work addresses a critical challenge in minimally invasive surgery: enhancing the precision and control of catheter manipulation, which is traditionally limited by human dexterity over long, flexible instruments. Xiao’s major contributions include the design and control of a novel robotic catheter manipulation system, detailed in his most-cited work (43 citations), which aims to improve the accuracy of endovascular procedures for both diagnosis and surgery. He further advanced this platform by integrating a PID controller (14 citations) to automate and stabilize catheter movement, reducing reliance on manual skill. Additionally, Xiao has explored the construction of 3D vessel models for virtual reality (VR) robotic catheter systems (4 citations), enabling realistic simulation and training environments. His cumulative work, spanning over 60 citations, has laid foundational groundwork for safer, more precise, and less invasive vascular interventions, positioning him as a key innovator in the intersection of robotics, control systems, and medical simulation.