Weishi Li

National University of Defense Technology

Papers

Total Citations

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About

Weishi Li is a researcher working at the intersection of artificial intelligence, mobile robotics, and autonomous navigation systems. Their work focuses on developing intelligent solutions for unmanned vehicles, including drones and autonomous cars, with a particular emphasis on enabling these systems to operate effectively in complex, real-world environments. Li's most notable contribution to date is their research on topological navigation map construction through model fusion, published in 2023, which addresses a critical challenge in the field: the difficulty of planning and navigating using trajectory maps generated in complex environments. By leveraging model fusion techniques, this work offers promising improvements to how small autonomous robots interpret and interact with their surroundings. While Li's publication record is still emerging — with their primary work accumulating 2 citations — their research tackles genuinely pressing problems in a rapidly expanding field, as unmanned vehicles continue to gain prominence across industries ranging from logistics to surveillance. Students and researchers interested in autonomous navigation, AI-driven robotics, or intelligent mapping systems would find Li's contributions a relevant and timely starting point for exploring modern solutions to mobile robot navigation challenges.