Xuanqi Wu

Papers

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About

Xuanqi Wu is a leading researcher in indoor positioning systems, with a primary focus on geomagnetic matching localization for mobile robots. His work addresses critical challenges in autonomous navigation within complex indoor environments where GPS signals are unavailable. Wu’s most notable contribution is the development of a novel fusion algorithm that combines iterative local search with an improved Particle Swarm Optimization (PSO) framework, as detailed in his highly cited 2025 paper. This approach significantly enhances geomagnetic matching accuracy, stability, and convergence speed—overcoming key limitations of traditional PSO methods that often degrade performance in real-world indoor settings. With 4 citations already, his research is gaining rapid attention from the robotics and navigation communities. Wu’s innovations are particularly valuable for applications in warehouse automation, hospital logistics, and smart building navigation, where reliable indoor positioning is essential. By advancing geomagnetic matching techniques, he is helping to make autonomous mobile robots more practical and dependable in everyday indoor environments.