Mei Yan
Papers
1
Total Citations
51
H-Index
1
About
Dr. Mei Yan is a leading researcher in industrial robotics and intelligent logistics systems, with a primary focus on path planning and automation for manufacturing environments. Her most impactful work, "Path Planning of Rail-Mounted Logistics Robots Based on the Improved Dijkstra Algorithm" (2023), has garnered 51 citations and addresses a critical challenge in modern factories: optimizing material distribution along fixed routes over long distances. By enhancing the classic Dijkstra algorithm, Dr. Yan’s contribution enables rail-mounted robots to navigate large production workshops with greater efficiency and precision, directly supporting the ongoing digital transformation of manufacturing. Her research bridges theoretical algorithm design and practical industrial application, offering scalable solutions for smart factories. Dr. Yan’s work is particularly notable for its relevance to Industry 4.0, where reliable, automated logistics are essential. With a growing citation record and a focus on real-world impact, she is establishing herself as a key voice in the intersection of robotics, path optimization, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1