Papers
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Total Citations
22
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About
Dr. Jinbo Wei is a leading researcher in intelligent mining and robotic perception, with a focus on advancing autonomous navigation in extreme underground environments. His key research areas include simultaneous localization and mapping (SLAM), 3D LiDAR-based environment reconstruction, and the application of intelligent equipment for coal mine safety and automation. Dr. Wei’s most notable contribution is his work on the LeGO-LOAM improved algorithm for underground coal mine map construction, which addresses the critical challenge of real-time, accurate positioning and mapping in GPS-denied, dusty, and low-visibility tunnel environments. This work, published in 2022 and already garnering 22 citations, provides a foundational method for enabling autonomous robots and unmanned vehicles to operate reliably in subterranean settings—a key pillar of China’s national strategy for intelligent mine development. By enhancing environmental perception and instant pose estimation, Dr. Wei’s research directly supports the safe, efficient, and automated transformation of the coal industry. His work is essential reading for engineers and researchers developing SLAM solutions for harsh, unstructured industrial environments.
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Top Papers
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