Papers
2
Total Citations
20
H-Index
2
About
Yinmei Xu is a leading researcher in mobile robotics, specializing in intelligent path planning and obstacle avoidance for autonomous systems. Her work focuses on developing advanced algorithms that enable robots to navigate static environments efficiently and reliably. Xu’s major contributions include pioneering the use of fuzzy logic controllers for path planning, which outperform traditional methods like artificial potential fields by producing shorter paths, reducing computing time, and eliminating common issues such as local minima and unreachable goals. Her 2013 paper on this topic has garnered 15 citations, reflecting its influence in the field. Additionally, Xu has advanced evolutionary computation techniques, proposing specialized genetic algorithms and improved particle swarm optimization (including PCPSO and BICPSO) for mobile robot navigation. These methods, detailed in her 2012 work (5 citations), generate optimal paths through heuristic initialization and refinement operators. Xu’s research bridges theoretical algorithm design with practical robotics applications, offering robust solutions for static environments. Her work is essential reading for students and researchers interested in autonomous navigation, fuzzy logic, and swarm intelligence, demonstrating how computational intelligence can solve real-world robotic challenges.
Research Focus
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Top Papers
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