Papers

3

Total Citations

16

H-Index

2

About

Mingrui Hao is an emerging researcher specializing in autonomous systems, underground robotics, and positioning technologies for coal mine environments. His work addresses one of the most pressing challenges in the mining industry: developing reliable navigation and automation solutions in GPS-denied, hazardous underground settings where conventional sensing technologies fail due to dust, water mist, uneven terrain, and poor illumination. Hao's most influential contribution, "Research on Location Estimation for Coal Tunnel Vehicle Based on Ultra-Wide Band Equipment" (2022, 11 citations), demonstrated innovative use of ultra-wideband (UWB) technology to achieve accurate vehicle positioning in underground coal tunnels — a significant breakthrough for mine safety and operational efficiency. His subsequent research introduced the Mining Trackless Auxiliary Transportation Robot (MTATBOT), integrating odometer-assisted inertial measurement units to enable autonomous navigation and material distribution in underground environments, directly targeting the persistent problems of labor intensity and high accident rates in auxiliary transportation systems. Collectively, Hao's publications reflect a focused research agenda aimed at transforming underground coal mining through intelligent robotics and precision localization, contributing meaningfully to the global push for safer, more automated mining operations. His growing citation record signals increasing recognition within the robotics and mining engineering communities.

Research Focus

Key Achievements

2
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Research on Location Estimation for Coal Tunnel Vehicle Based on Ultra-Wide Band Equipment
11 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: China Coal Technology and Engineering Group Corp (China), China University of Mining and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago