Papers
2
Total Citations
4
H-Index
2
About
Wubin Xu is a researcher at the forefront of autonomous navigation and perception in extreme industrial environments, with a primary focus on open-pit mining robotics. His work addresses the critical challenge of enabling intelligent robots to achieve precise localization and mapping in complex terrains characterized by significant pitch variations, uneven highways, and low-texture rocky surfaces. Xu’s major contributions include the development of a Visual–Inertial Measurement Unit (VIMU) fusion SLAM algorithm specifically tailored for open-pit mines, which overcomes the limitations of traditional feature extraction in such harsh conditions. He further advanced the field by optimizing a dense mapping algorithm that enhances point-line features within the ORB-SLAM3 framework, tackling the persistent issue of sparse point cloud maps for mobile robot navigation. Though his most-cited papers from 2024 and 2025 each hold 2 citations, Xu’s work is pioneering in its domain, directly addressing the gap between standard SLAM solutions and the demanding realities of mining environments. His research is essential for the future of autonomous mining operations, promising safer and more efficient resource extraction through robust robotic intelligence.
Research Focus
Key Achievements
Top Papers
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