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About

Pingyi Fan is a leading researcher in multi-robot formation control and smart city infrastructure, with a focus on enhancing system reliability and efficiency through information theory. His most cited work, "To Smart City: Public Safety Network Design for Emergency" (2017, 53 citations), proposes a novel system architecture integrating a central agent with unmanned aerial vehicles (UAVs) to detect and respond to urban emergencies, addressing critical challenges in public safety. Fan's major contributions lie in developing semi-centralized control strategies for multi-robot formations, as detailed in his 2017 paper (13 citations), which optimizes robot positioning to minimize system costs and improve cooperative task execution. He further advances the field by applying information theory to formation control, as seen in his 2018 work (5 citations), where he analyzes position errors arising from sensor and controller limitations, providing theoretical lower bounds for system performance. Fan's research bridges practical applications in civilian and military scenarios with rigorous theoretical foundations, making him a notable figure in robotics and smart systems. His work continues to influence the design of resilient, intelligent networks for emergency response and collaborative robotics.