Chenhao Fang

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Total Citations

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About

Chenhao Fang is a researcher whose work lies at the intersection of medical robotics and surgical automation, with a particular focus on enhancing the safety and precision of percutaneous procedures. His key research areas include compliance control strategies, adaptive robotics, and human-robot interaction in minimally invasive surgery. Fang’s major contribution is the development of a compliance control framework designed to address a critical challenge in robotic-assisted puncture surgery: the dynamic movement of the operative region relative to a rigid robot, especially during lung procedures. His 2019 paper, "A Compliance Control Strategy for Adapting to Body Movements during a Percutaneous Surgery," proposes a novel approach to enable robots to adapt in real-time to patient body motions, thereby reducing the risk of tissue damage and improving targeting accuracy. While his citation count is currently modest, his work tackles a fundamental problem in surgical robotics—bridging the gap between rigid robotic systems and the inherently mobile human body. Fang’s research is particularly notable for its potential to improve outcomes in percutaneous lung biopsies and ablations, where even slight movements can compromise procedure success. His contributions are paving the way for more intelligent, responsive surgical robots that can work safely alongside human clinicians.