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About

Fan Xia is a researcher specializing in capacitive sensing technologies and human-robot interaction safety systems, with a particular focus on industrial robotics applications. His work addresses one of the most pressing challenges in modern manufacturing environments: ensuring worker safety during close collaboration between humans and robotic systems. Xia's most significant contribution is the development of multi-functional capacitive proximity sensors designed to prevent collisions in industrial settings. His 2018 paper on tri-mode capacitive proximity detection, which has garnered 44 citations, introduced a wearable sensor system capable of maintaining safe distances between workers and robotic equipment — a critical advancement as collaborative robotics becomes increasingly prevalent in manufacturing. Building on this foundation, his earlier 2016 work, cited 22 times, expanded the concept into a comprehensive sensing system capable of object distance measurement, motion tracking, and surface profile detection, enabling robots to navigate partially modelled or unknown environments more safely. His 2019 research further refined these systems by improving detection accuracy for conductive objects through target profile estimation, demonstrating a commitment to precision and practical applicability. Collectively, Xia's research has made meaningful contributions to industrial safety engineering, offering scalable solutions that bridge the gap between human workers and increasingly autonomous robotic systems.