GENETIC FUZZY ALGORITHM USED FOR ROBOT NAVIGATION

Abstract

A mobile Robot is a machine able to extract information from its environment and use knowledge about its world to move safely from point to point. Robot navigation and obstacle avoidance are some of the most important problems in mobile robots, especially in unknown environments. Techniques such as Fuzzy logic, Neural Networks and Genetic Algorithms, have been applied to mobile robots in order to improve their performance. During the past few years the Genetic-fuzzy method has appeared as one of the most active areas for research in the application of intelligent system design. The objective of this work is to provide a Genetic Fuzzy algorithm for robot navigation which will provide an improved set of rules governing the actions and behaviour of a simple navigating and obstacle avoiding mobile robot.