Yi Yu Li
Papers
1
Total Citations
15
H-Index
1
About
Yi Yu Li is a researcher in robotics and intelligent systems, with a primary focus on behavior-based navigation and autonomous control for mobile service robots. Their most cited work, "Behavior-Based Navigation Using Heuristic Fuzzy Kohonen Clustering Network for Mobile Service Robots" (2010), introduces a novel hybrid approach that integrates heuristic fuzzy logic with Kohonen neural networks to enhance real-time navigation and obstacle avoidance in dynamic environments. This contribution has garnered 15 citations, reflecting its influence in advancing adaptive robotic navigation strategies. Li’s research bridges the gap between fuzzy systems and unsupervised learning, offering a robust framework for robots to learn and adapt their behaviors without explicit programming. The work is particularly notable for its application in service robotics, where safe and efficient navigation is critical. By combining heuristic reasoning with neural clustering, Li has provided a foundation for more intelligent and autonomous robotic systems, making their research a valuable reference for scholars and engineers working on mobile robot control and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1