Xiaoming Yuan

China University of Mining and Technology, China Coal Technology and Engineering Group Corp (China)

Papers

Total Citations

H-Index

About

Xiaoming Yuan is a leading researcher in intelligent mining and autonomous navigation systems, with a primary focus on underground coal mine environments. His work addresses critical challenges in GPS-denied settings, where traditional positioning technologies fail due to slippery, uneven roadways, dust, and water mist. Yuan’s major contributions include pioneering ultra-wide band (UWB) localization for coal tunnel vehicles, achieving 11 citations for his 2022 study that solved key estimation problems in harsh subterranean conditions. He further advanced the field by developing the Mining Trackless Auxiliary Transportation Robot (MTATBOT), integrating odometer-assisted inertial measurement for robust positioning and autonomous driving strategies. His 2024 paper on this system, with 3 citations, directly tackles the industry’s pressing issues of low automation, high labor intensity, and accident rates. Yuan’s most recent work, a trackless auxiliary transportation robot system for unmanned material distribution (2 citations), demonstrates his commitment to practical, deployable solutions. By combining sensor fusion, autonomous navigation, and specialized hardware design, Yuan is transforming coal mine safety and efficiency, making him a notable figure in mining robotics and industrial automation.