Soft Computing Techniques for the Path Following Behavior and Moving Target Pursing by a Mobile Robot

Abstract

This paper presents a navigation method for an autonomous mobile robot. In order to equip the robot by capacity of autonomy and intelligence in its environment, the control system must perform much complex information and processing tasks in real time, and it is well suited to use the soft-computing techniques. The objective of this paper is to elaborate intelligent control systems for the path following behavior by a mobile robot using fuzzy and neuro-fuzzy controllers. The proposed controllers are used for pursing a moving target. Simulation results show the effectiveness of the designed controllers. The results are discussed and compared.