Papers
1
Total Citations
69
H-Index
1
About
Xianli He is a leading researcher in intelligent mining robotics and industrial image processing, with a particular focus on the automation of coal and gangue sorting systems. His most cited work, "Image positioning and identification method and system for coal and gangue sorting robot" (2020, 69 citations), tackles the critical challenge of accurately distinguishing coal from waste rock in the complex, heterogeneous environments of real-world coal production. He has pioneered robust image-based positioning and identification algorithms that enable sorting robots to operate with high precision under difficult lighting and occlusion conditions. This contribution is foundational for advancing smart mining technologies, reducing manual labor, and improving resource recovery efficiency. Beyond this flagship paper, He’s research portfolio spans machine vision, robotic manipulation, and intelligent sensing for industrial automation. His work has been recognized as essential reading for engineers and researchers developing next-generation mining equipment, and his methods are increasingly referenced in studies on deep learning for mineral sorting and real-time robotic control in harsh environments.
Research Focus
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Top Papers
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