Papers
8
Total Citations
98
H-Index
6
About
Yutan Li is a specialist in robotics engineering with a focused research program centered on coal mine rescue robotics, autonomous systems, and safety-critical robot design. His work addresses one of the most pressing challenges in mining safety: enabling effective disaster response in hazardous, post-explosion environments where human entry poses severe risks to rescuers. Li's most influential contribution is his comprehensive development and application of coal mine rescue robots (CMRRs), documented in a 2019 paper that has accumulated 38 citations and remains a cornerstone reference in the field. His engineering innovations span multiple subsystems, including explosion-proof housing design optimized through lightweight structural methods, twin dual-motor tracked locomotion systems for reliable underground mobility, and real-time 3D SLAM algorithms enabling accurate self-localization in semi-structured mine laneways. More recently, Li has tackled the unique challenge of visual object tracking in low-illumination underground environments, advancing discriminative correlation filter methods for practical deployment. With a growing body of work exceeding 98 total citations, Li's research has meaningfully shaped how rescue robotics are designed, tested, and evaluated in one of the world's most dangerous industrial settings, offering both technical blueprints and hard-won operational insights for future practitioners and engineers.
Research Focus
Key Achievements
Top Papers
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- 5Efficient Laser-Based 3D SLAM in Real Time for Coal Mine Rescue Robots8 citations · 2018
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- 8Coal Mine Rescue Robots: Development, Applications and Lessons Learned4 citations · 2022