Genetic and Fuzzy logic algorithms for robot path finding

Abstract

In this paper we present detection and avoidance of static and dynamic obstacles in a closed system using only one camera to pin point the state of our environment where the mobile robot operates by not mapping the working environment. We use an optimization approach like Genetic Algorithm on the steps generated by Fuzzy logic algorithm that mobile robot needs to achieve the target. Another novelty here besides optimization steps of path is also avoiding of usage real sensors for obstacle detection. Instead we use virtual sensors which results in faster detection and response to them.