Papers
2
Total Citations
8
H-Index
1
About
Yulin Mei is a robotics researcher whose work focuses on advancing autonomous systems for logistics and mobile robotics. Her key research areas include multi-robot coordination, task allocation, path planning, and robust predictive control for wheeled mobile robots. In her most-cited work, "A Multi-robot Task Allocation and Path Planning Method for Warehouse System" (2021, 7 citations), Mei addresses critical inefficiencies in traditional warehouse systems by designing an integrated method that accounts for congestion impacts on task execution costs—a practical contribution to the growing field of automated warehousing. Her second notable paper, "Robust Predictive Trajectory Tracking Control Method for Wheeled Mobile Robot" (2021, 1 citation), tackles the degradation of tracking performance caused by sampling time errors, proposing a robust predictive control approach using an augmented kinematics model. This work demonstrates her ability to solve real-world control challenges. While her citation counts are still building, Mei’s research is directly relevant to industry applications in logistics and manufacturing, and her focus on practical, implementable solutions positions her as an emerging contributor to the robotics community.
Research Focus
Key Achievements
Top Papers
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