Xu Fang

Papers

Total Citations

H-Index

About

Xu Fang is a researcher in mobile robotics, specializing in path planning and sensor fusion for localization. Their early work introduced a hybrid path planning method that combines global and local planners, leveraging the A* algorithm for structured navigation in dynamic, unstructured indoor environments—a foundational contribution cited 21 times. More recently, Fang has advanced localization techniques by proposing a graph optimization approach that integrates inertial measurement units (IMU) with ultra-wideband (UWB) measurements, addressing the limitations of traditional filter-based methods that require complex kinetic models. This work, though newer with 2 citations, demonstrates a shift toward more robust, model-free solutions for robot positioning. Fang’s research bridges deliberate and reactive behavior planning, offering practical frameworks for autonomous navigation. Their contributions are particularly valuable for students and engineers working on mobile robot autonomy, as they provide scalable solutions for real-world deployment in challenging environments.