Yanmin Lei
Papers
3
Total Citations
11
H-Index
2
About
Yanmin Lei is a researcher whose work focuses on the critical challenges of multi-robot coordination, formation control, and intelligent obstacle avoidance. Lei’s key contributions lie at the intersection of fuzzy logic, neural networks, and robotics, particularly in developing adaptive strategies for cooperative systems. In a foundational 2008 paper, Lei proposed a hybrid architecture for multi-robot formation control using fuzzy neural networks, addressing one of the most complex problems in cooperative robotics. This work, with 6 citations, laid the groundwork for more adaptive and reactive robot teams. Lei further advanced the field by introducing an improved grid-potential field method for stepping motion coordination, overcoming the limitations of traditional artificial potential field approaches. In applied robotics, Lei’s 2015 research on fuzzy control for fire-fighting robot obstacle avoidance demonstrated how intelligent systems can operate effectively without precise motion models, achieving 3 citations. Though the citation counts are modest, Lei’s work represents early and important steps in making multi-robot systems more practical, robust, and capable of real-world tasks like search-and-rescue and firefighting.
Research Focus
Key Achievements
Top Papers
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