Xiangang Cao
Papers
16
Total Citations
136
H-Index
7
About
Xiangang Cao is a leading researcher in intelligent mining robotics, with a primary focus on automation and monitoring systems for coal mine safety and efficiency. His work centers on three key areas: inspection robots for hazardous underground environments, multi-robot cooperative sorting systems for coal gangue separation, and advanced control strategies for cable-based manipulators. Cao’s most significant contributions include developing a suspension inspection robot for belt conveyor monitoring (21 citations) and pioneering multi-arm cooperative gangue sorting methods using improved Hungarian algorithms and immune dynamic workspace strategies (19 and 14 citations, respectively). He has also advanced vision systems for mine rescue robots operating in low-illumination conditions (16 citations) and proposed robust adaptive fuzzy tracking control for cable-based sorting robots handling model uncertainties (11 citations). His recent work on trajectory planning for high-speed target tracking (10 citations) and multi-task allocation frameworks for time-varying raw coal flows (9 citations) demonstrates his ongoing impact. With over 100 total citations across his top ten papers, Cao’s research is instrumental in transforming dangerous, labor-intensive mining operations into safer, more efficient automated systems.
Research Focus
Key Achievements
Top Papers
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