Papers
1
Total Citations
6
H-Index
1
About
Rusen Wen is a leading researcher in intelligent mining and robotic automation, with a primary focus on advancing underground roadway support systems and unmanned excavation technologies. His work centers on the integration of computer vision and robotics to solve critical challenges in hazardous mining environments. Wen’s most notable contribution is his pioneering research on the body positioning method of bolting robots using monocular vision, published in 2023. This work proposes a novel vehicle body positioning model based on image data, enabling precise, real-time localization for robotic bolting in fully unmanned excavation faces—a breakthrough that enhances both safety and efficiency in underground mining. With 6 citations to date, this paper has quickly gained recognition for its practical implications in intelligent mine design. Wen’s research addresses the industry’s urgent need for automation, reducing human exposure to dangerous conditions while improving operational accuracy. His innovative approach to monocular vision-based positioning marks a significant step toward fully autonomous mining systems, positioning him as a key contributor to the future of smart mining technology.
Research Focus
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Top Papers
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