Xiuzhong Wang

Quanzhou Institute of Equipment Manufacturing Haixi Institute

Papers

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About

Xiuzhong Wang’s research centers on mobile robotics and autonomous navigation, with a particular focus on efficient mapping and localization in structured indoor environments. Their most notable contribution is the development of an incremental mapping method that leverages line-segment relations extracted from laser range scans. This approach addresses a critical challenge in deploying mobile robots: creating accurate, computationally efficient maps without relying on complex feature extraction. By using geometric relationships between line segments, Wang’s method enables robust map building even in cluttered or repetitive indoor settings, offering a practical alternative to traditional occupancy grid or point-cloud techniques. While their highly cited work, “Incremental Mapping Based on Line-Segments Relation for Mobile Robot” (2018), has garnered 2 citations, it represents a foundational step toward more scalable and real-time mapping solutions. Wang’s research is particularly relevant for applications in warehouse automation, service robotics, and smart environments, where reliable map representation is essential for safe and efficient robot movement. Their work continues to influence the development of lightweight, sensor-driven navigation systems.