Xueqiang Yang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Xueqiang Yang is a leading researcher in intelligent mining and robotic automation, with a core focus on underground roadway support and unmanned excavation systems. His most-cited work, "Research on the Body Positioning Method of Bolting Robots Based on Monocular Vision" (2023, 6 citations), introduces a pioneering monocular vision-based positioning model for bolting robots. This contribution directly addresses the critical challenge of precise, real-time vehicle body localization in hazardous, unstructured underground environments—a key enabler for fully autonomous excavation faces. By integrating computer vision with robotic mechanics, Dr. Yang’s method enhances the accuracy and safety of bolt placement, reducing human exposure to dangerous conditions. His research bridges the gap between theoretical vision algorithms and practical mining robotics, offering a scalable solution for intelligent roadway support. With growing recognition in the field, Dr. Yang’s work lays the foundation for next-generation, vision-guided mining automation, promising to transform traditional excavation into a precise, unmanned operation.
Research Focus
Key Achievements
Top Papers
- 1