Jiali Xu

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About

Jiali Xu is a researcher focused on advancing mobile robotics, with a particular emphasis on Simultaneous Localization and Mapping (SLAM) technology. Her most-cited work, "Research of Cartographer Graph Optimization Algorithm Based on Indoor Mobile Robot" (2020, 16 citations), makes a significant contribution by investigating the Cartographer graph optimization SLAM algorithm—a critical tool for enabling indoor mobile robots to navigate autonomously and accurately map unknown environments. This research addresses a core challenge in robotics: improving the efficiency and precision of real-time mapping and localization. By delving into the intricacies of graph optimization, Xu’s work helps refine algorithms that reduce drift and enhance map consistency, directly impacting the reliability of robots in complex indoor settings. Her findings are particularly valuable for applications in logistics, service robotics, and smart environments, where robust navigation is essential. With 16 citations, this paper has already influenced subsequent studies in SLAM optimization, underscoring Xu’s role in advancing practical solutions for autonomous systems. Her research bridges theoretical algorithm development and real-world robotic performance, making her a notable contributor to the field of mobile robotics.