Guixia Fu

Papers

Total Citations

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About

Guixia Fu is a researcher whose work centers on mobile robotics, with a particular focus on simultaneous localization and mapping (SLAM) and sensor fusion techniques. Her most-cited paper, "SRCKF Based Simultaneous Localization and Mapping of Mobile Robots" (2013), introduces a square-root cubature Kalman filter approach to enhance the accuracy and robustness of SLAM in dynamic environments. This contribution addresses a fundamental challenge in autonomous navigation—enabling robots to build maps while tracking their own position in real time. Though her citation count is modest, Fu’s work represents a technical refinement in state estimation that supports the broader development of reliable autonomous systems. Her research bridges theoretical filtering methods and practical robotic applications, offering insights for students and engineers working on sensor integration and real-time localization. By advancing SLAM algorithms, Fu contributes to the foundational toolkit that enables robots to operate effectively in unknown or changing spaces—a critical step toward fully autonomous navigation in fields like logistics, exploration, and service robotics.