• L. CHERROUN Electrical Engineering Department, Biskra University
  • R. MECHGOUG Electrical Engineering Department, Biskra University
  • M. BOUMEHRAZ Electrical Engineering Department, Biskra University


In order to achieve tasks by the mobile robots, these robotic systems must have been intelligent and should decide their own
action. To guarantee the autonomy and the intelligence for the path following behavior, it is necessary to use the techniques of
artificial intelligence like the neural networks and the fuzzy logic. This paper presents an approach for the path following task
by an autonomous mobile robot using neural networks and fuzzy logic controllers. The first controller is a Takagi-Sugeno
fuzzy model and the second is a multi-layer neural network. The proposed controllers are used for pursing a moving target.
The results are compared and discussed.


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Comment citer
CHERROUN, L.; MECHGOUG, R.; BOUMEHRAZ, M.. PATH FOLLOWING BEHAVIOR FOR AN AUTONOMOUS MOBILE ROBOT. Courrier du Savoir, [S.l.], v. 12, mai 2014. ISSN 1112-3338. Disponible à l'adresse : >>. Date de consultation : 12 jui. 2020