Yongqing Fu

Papers

Total Citations

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About

Yongqing Fu is a leading researcher in medical robotics and human-machine interaction, with a focus on teleoperation systems for diagnostic imaging. His major contributions center on developing advanced robotic ultrasound platforms that integrate augmented reality (AR) and haptic feedback to overcome time-delay challenges in remote medical procedures. His highly cited work, "Robot-Assisted Teleoperation Ultrasound System Based on Fusion of Augmented Reality and Predictive Force" (2022, 42 citations), introduces a novel method where physicians use haptic devices to send commands while observing an AR environment, significantly reducing operator latency. Complementing this, his 2021 paper on tele-operated robotic ultrasound systems for medical diagnosis (38 citations) further establishes his impact in enabling real-time, remote diagnostic capabilities. Fu’s research bridges robotics, virtual reality, and clinical practice, offering practical solutions for telemedicine in underserved areas. His work has been recognized for its potential to transform point-of-care diagnostics, and he continues to advance human-robot collaboration in surgical and diagnostic contexts.