Author/Authors
CHERROUN, L. Biskra University - Electrical Engineering Department, Algeria , MECHGOUG, R. Biskra University - Electrical Engineering Department, Algeria , BOUMEHRAZ, M. Biskra University - Electrical Engineering Department, Algeria
Title Of Article
PATH FOLLOWING BEHAVIOR FOR AN AUTONOMOUS MOBILE ROBOT USING FUZZY LOGIC AND NEURAL NETWORKS
شماره ركورد
21547
Abstract
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.
From Page
63
NaturalLanguageKeyword
mobile robot , path following , neural network , fuzzy controller , moving target pursing
JournalTitle
Courrier Du Savoir
To Page
70
JournalTitle
Courrier Du Savoir
Link To Document