Haining Yuan
Papers
1
Total Citations
7
H-Index
1
About
Haining Yuan is a researcher focused on advancing automation and robotics in coal mining operations, with particular emphasis on improving safety and efficiency in underground tunneling support systems. Their major contributions center on developing intelligent robotic solutions for drill and anchor materials handling, addressing critical challenges in China's coal mining industry where traditional mechanized equipment suffers from low support efficiency and high labor intensity. Yuan's most-cited work, a 2024 study on obstacle-avoidance trajectory planning for mechanical arms on coal mine drilling and anchoring robots, has already garnered 7 citations, demonstrating growing recognition in the field. This research tackles the pressing need to liberate productivity by enabling robotic arms to navigate complex underground environments autonomously, reducing human exposure to hazardous conditions. Yuan's work represents a significant step toward fully automated mining support systems, with potential to transform permanent tunneling support practices. By integrating trajectory optimization with real-time obstacle avoidance, their research contributes to the broader goal of smart mining, where robotics enhance both operational efficiency and worker safety in challenging subterranean settings.
Research Focus
Key Achievements
Top Papers
- 1