A genetic-fuzzy approach for mobile robot navigation

Abstract

A genetic-fuzzy approach is developed to solve the navigation problem of a mobile robot in dynamic environment. The improved genetic algorithms are used for tuning the scaling factors of the state variables and rule sets of a fuzzy logic controller which a robot uses to navigate among moving obstacles. The results of simulation experiment indicate the effectiveness of the proposed method.