Naiping Niu
Papers
1
Total Citations
6
H-Index
1
About
Naiping Niu is a researcher whose work focuses on intelligent automation and scheduling systems for complex industrial environments, particularly in underground mining and electric locomotive robotics. Niu’s most-cited paper, “Intelligent Scheduling Strategy of Electric Locomotive Robots for Underground Mining” (2021, 6 citations), addresses a critical challenge in coal mining: improving the efficiency and automation of underground scheduling systems. By establishing a scheduling model based on underground track layouts, Niu’s work enables electric locomotive robots to navigate complex geological conditions autonomously, reducing human intervention and enhancing operational safety. This contribution is vital for advancing smart mining technologies, where real-time coordination and energy optimization are key. Though early in citation impact, Niu’s research represents a foundational step toward fully automated underground transport systems, with potential applications in logistics and hazardous environment robotics. Their work underscores a commitment to solving real-world industrial problems through algorithmic innovation, making it relevant for students and researchers in robotics, operations research, and mining engineering.
Research Focus
Key Achievements
Top Papers
- 1