Xueping Li

University of Tennessee at Knoxville, Tianjin University of Technology

Papers

Total Citations

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About

Xueping Li is a leading researcher in robotics and autonomous systems, with a primary focus on unmanned aerial vehicles (UAVs) for disaster response and mobile robot navigation. Li’s most significant contribution is the development of AiRobSim, a multisensor aerial robot simulator designed for urban search and rescue (SaR) operations and training. This work, which has garnered 26 citations, addresses the critical challenge of providing first responders with enhanced situational awareness in disaster zones by enabling UAVs to sense occluded spaces. Li’s research directly augments the capabilities of emergency teams, offering a practical tool for training and operational planning. Additionally, Li has advanced path planning algorithms for mobile robots, notably proposing a novel repulsive force algorithm that overcomes the local minimum and target unreachability issues inherent in the classic Artificial Potential Field (APF) method. This work, cited 4 times, demonstrates Li’s commitment to solving fundamental problems in robot motion control. Through these contributions, Xueping Li is shaping the future of autonomous robotics in high-stakes environments, making disaster response safer and more efficient.