Papers
1
Total Citations
9
H-Index
1
About
Erfei Gao is a researcher focused on industrial safety and automation, with a particular emphasis on inspection robotics for hazardous environments. His work addresses critical challenges in coal mine wind shafts—essential ventilation channels where manual inspection poses significant risks and reliability issues. Gao’s major contribution lies in developing an inspection robot and wall surface detection method tailored for these shafts, tackling the dual problems of shaft wall degradation and detection accuracy. This innovative approach enhances safety and efficiency, replacing high-risk manual labor with automated, precise monitoring. His most-cited paper, “Inspection Robot and Wall Surface Detection Method for Coal Mine Wind Shaft” (2023), has garnered 9 citations, reflecting growing interest in practical solutions for underground infrastructure maintenance. By integrating robotics with surface detection techniques, Gao’s research paves the way for safer, more reliable industrial inspections, offering a compelling model for students and researchers in automation, mining engineering, and occupational safety.
Research Focus
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Top Papers
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