Neural Networks and Fuzzy Logic navigation approach for a bi-steerable mobile robot

Abstract

This paper presents an implementation of an intelligent navigation approach on a bi-steerable mobile robot Robucar. This approach is based on Neural Networks (NN) and Fuzzy Logic (FL) paradigms to provide Robucar with capability to acquire the obstacle avoidance, target localization, decision-making and action behaviors after learning and adaptation. To develop this approach, three (NN) and a FL controller to achieve the desired task are used. Experimental results are presented showing the effectiveness of the overall navigation control system.