Yingming Li
Papers
1
Total Citations
9
H-Index
1
About
Yingming Li is a prominent researcher in the fields of intelligent inspection robotics and coal mine safety engineering. His work focuses on developing autonomous systems to replace hazardous manual inspections in underground environments, particularly in critical ventilation infrastructure. Li’s most notable contribution is his pioneering research on inspection robots for coal mine wind shafts, as detailed in his highly cited 2023 paper, which has already garnered 9 citations. This work addresses the critical challenge of ensuring long-term shaft wall safety by proposing a novel robot design and wall surface detection method, significantly improving reliability while reducing human risk. By tackling the dual problems of manual inspection inefficiency and danger, Li’s innovations have direct implications for industrial safety and automation. His research bridges mechanical engineering, sensor technology, and risk assessment, offering practical solutions for real-world mining operations. With a growing citation record and a focus on life-saving technology, Yingming Li is establishing himself as a key contributor to the future of intelligent mining and industrial inspection systems.
Research Focus
Key Achievements
Top Papers
- 1