A Comprehensive Overview of the Applications of Artificial Life
Artificial Life
A Hybrid Intelligent System for Pipeline Robot Navigation in Unknown Environment
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Evolution of Fuzzy Controllers for Robotic Vehicles: The Role of Fitness Function Selection
Journal of Intelligent and Robotic Systems
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Recently, there has been extensive work on the construction of fuzzy controllers for mobile robots by a genetic algorithm (GA); therefore, we can realize evolutionary optimization as a promising method for developing fuzzy controllers. However, much investigation on the evolutionary fuzzy controller remains because most of the previous works have not seriously attempted to analyze the fuzzy controller obtained by evolution. This paper develops a fuzzy logic controller for a mobile robot with a GA in simulation environments and analyzes the behaviors of the controller with a state transition diagram of the internal model. Experimental results show that appropriate control mechanisms of the fuzzy controller are obtained by evolution. The controller has evolved wen enough to smoothly drive the robot in different environments. The robot produces emergent behaviors by the interaction of several fuzzy rules obtained