Papers
2
Total Citations
13
H-Index
2
About
Yajun Xu is a leading researcher in intelligent mining and robotics, with a primary focus on advancing automation and safety in coal mine operations. His work centers on developing robotic systems and control methods for underground environments, as well as addressing systemic challenges in the digital transformation of the mining industry. Xu’s most-cited paper, “Expected position and attitude adjustment control method of coal mine roadway support robot” (2023, 7 citations), introduces a real-time position-attitude detection system that enables flexible maneuverability and precise control for support robots in hazardous roadway conditions. This contribution directly enhances operational safety and efficiency in underground mining. His second most-cited work, “Analysis and countermeasures of ten 'pain points' of intelligent coal mine” (2021, 6 citations), proposes a comprehensive technical architecture—‘one cloud + one converged network + three-level platform + N application modules’—that systematically addresses key barriers to intelligent mine construction in China. By combining practical robotic solutions with strategic frameworks, Xu’s research bridges the gap between theoretical automation and real-world mining challenges, making him a pivotal figure in the push toward safer, smarter, and more productive coal mining operations.
Research Focus
Key Achievements
Top Papers
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