A Mobile Robot Path Tracking Method Based on Fuzzy Logic and Artificial Emotion

Design a subsection fuzzy controller for autonomous mobile robots based on location sensors. First section the controller produced some fuzzy output and part of the output was used for setting up an emotion factor called E. In the second section, E has an effect on the controller, and the mobile robot can move more like a car being driven by human. As the fuzzy controller is down to subsections, each of the section has a simpler fuzzy rule table. The simulation experiment data showed that this kind of control method for path tracking could fit the path better with short response time and strong robustness. It was more flexible and effective on processing different corners during tracking compared to conventional fuzzy control method.