Sergii Anufriiev
Papers
3
Total Citations
90
H-Index
3
About
Sergii Anufriiev is a pioneering researcher at the intersection of robotics and mining infrastructure diagnostics. His work focuses on deploying autonomous legged inspection robots to monitor and maintain critical conveyor systems in deep underground mines—environments too hazardous for human workers due to high temperatures, toxic gases, and seismic activity. Anufriiev’s major contributions include developing acoustic signal analysis methods for diagnosing belt conveyor rollers, as demonstrated in his most-cited paper (59 citations), and creating procedures for detecting conveyor belt damage using legged robots (27 citations). He has also advanced gearbox condition monitoring by defining diagnostic features for robotic inspection (4 citations). Collectively, his research addresses the growing demand for raw materials by enabling safer, more reliable operations in extreme mining conditions. Anufriiev’s work is notable for its practical impact: by replacing human inspection with autonomous robots, he helps prevent catastrophic failures and reduces risks to personnel. His innovative fusion of robotics, acoustics, and mechanical diagnostics positions him as a key figure in the future of smart mining and industrial automation.
Research Focus
Key Achievements
Top Papers
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