Xiaolong Fu

Southern University of Science and Technology, Shanghai Jiao Tong University

Papers

Total Citations

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About

Xiaolong Fu is a researcher advancing the frontiers of medical robotics and artificial intelligence, with a focus on enhancing diagnostic and therapeutic technologies. His key research areas include robot-assisted ultrasound imaging, intelligent medical systems, and autonomous mobile robotics for hazardous environments. Fu’s major contribution lies in the design of a cost-effective ultrasound force sensor and force control system for robotic extra-body ultrasound imaging, addressing operator variability to improve image quality and reproducibility—a work that has garnered 9 citations since 2025. He has also explored the application and prospect of artificial intelligence in cancer diagnosis and treatment, with 7 citations, highlighting AI’s potential to revolutionize oncology through intelligent computation. Additionally, Fu developed a mobile robot combination autonomous behavior strategy for inspecting hazardous gases in narrow man–machine environments, earning 3 citations. His interdisciplinary work bridges robotics, AI, and healthcare, offering practical solutions for safer, more precise medical procedures. Fu’s achievements demonstrate a commitment to translating cutting-edge technology into real-world impact, making him a notable figure in the growing field of medical robotics and intelligent systems.