Huimin Yu
Papers
1
Total Citations
36
H-Index
1
About
Huimin Yu is a researcher specializing in intelligent robotics, autonomous navigation, and multi-objective optimization algorithms. Her most notable contribution is the development of a path planning method based on a Multi-Objective Cauchy Mutation Cat Swarm Optimization Algorithm, designed for the navigation systems of intelligent patrol cars used in industrial environments like power distribution rooms and data centers. This work, published in 2020, has garnered 36 citations, reflecting its relevance in advancing autonomous robotic navigation for equipment defect detection. Yu’s research addresses critical challenges in optimizing path efficiency and safety under multiple constraints, leveraging bio-inspired computation to enhance real-world robotic performance. Her achievements highlight a focus on bridging algorithmic innovation with practical applications in industrial automation, making her work valuable for researchers in robotics, swarm intelligence, and autonomous systems. With a growing citation impact, Huimin Yu continues to contribute to the development of smarter, more reliable navigation solutions for specialized robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1