Xiaonan Ji

Papers

Total Citations

H-Index

About

Xiaonan Ji’s research centers on robotics and autonomous navigation, with a particular focus on Simultaneous Localization and Mapping (SLAM) technology. Her most-cited work, “New research on SLAM algorithm based on feature matching” (2017), tackles a critical challenge in mobile robotics: the high computational cost and dimensionality of data association during environment mapping. By proposing a feature-matching approach that reduces resource consumption while improving data association accuracy, Ji’s algorithm enhances the efficiency of SLAM systems using laser radar scanners. This contribution is especially valuable for real-time applications in autonomous vehicles and service robots, where computational constraints are paramount. While her citation count is modest, her work addresses foundational issues in SLAM that underpin more advanced systems. Ji’s research reflects a practical, problem-driven approach to robotics, aiming to make autonomous navigation more robust and accessible. Her focus on optimizing core algorithms positions her as a contributor to the ongoing evolution of intelligent mobile systems, with potential implications for industries ranging from logistics to domestic robotics.