Yuan Mengru
Papers
1
Total Citations
10
H-Index
1
About
Yuan Mengru is a researcher in robotics and intelligent optimization algorithms, with a primary focus on path planning for mobile robots. Her most notable contribution is the development of a logarithmic function adaptive artificial fish swarm algorithm (AFSA), which addresses critical limitations in traditional AFSA—namely, the fixed step size and visual field parameters that hinder global search speed and performance. By introducing a logarithmic adaptive mechanism, her work significantly enhances the efficiency and accuracy of autonomous navigation in complex environments. Her 2017 paper on this topic has garnered 10 citations, reflecting its relevance in the field of swarm intelligence and mobile robotics. This achievement underscores her ability to refine bio-inspired algorithms for practical engineering applications, making her research valuable for students and scholars interested in optimization techniques, autonomous systems, and robotic control.
Research Focus
Key Achievements
Top Papers
- 1