Qinghua Mao
Papers
4
Total Citations
13
H-Index
2
About
Qinghua Mao is a leading researcher in intelligent mining robotics, with a focus on automation and safety in underground coal mine environments. His work centers on the development of specialized robots for drilling, anchoring, and temporary support in tunnel excavation, addressing the critical industry challenge of balancing mining and tunneling operations. Mao's major contributions include designing a tracked drilling and anchoring robot capable of deviation correction control to maintain alignment with tunnel centerlines, and pioneering temporary support robots that enable parallel excavation and permanent support—a breakthrough for rapid roadway development. His research on multi-sensor measuring and control systems for coal mine rescue robots, dating back to 2011, laid foundational work for autonomous navigation in hazardous environments. With his most-cited paper (2024) already garnering 5 citations, Mao's recent innovations in robots for short-wall working face roadways (2025) continue to push the boundaries of automated mining support. His work is instrumental in reducing labor intensity and improving operational efficiency, making him a key figure in the modernization of coal mine safety and productivity.
Research Focus
Key Achievements
Top Papers
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