DocumentCode :
349826
Title :
Control of autonomous robots using genetic algorithms and neural networks
Author :
Torres, Ronaldo R., Jr. ; Silvino, José L. ; Palmeira, Paul F M ; De Melo, Julio C D
Author_Institution :
Centro de Pesquisa e Desenvolvimento Em Engenharia Eletrica, Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
151
Abstract :
A simulator of autonomous robots in a non-structured environment is presented. This simulator is used to develop alternative programming techniques for robot control. These techniques consist basically of using genetic algorithms to train neural networks that are used to control the autonomous robots. The robots´ autonomous control is presented and the computational aspects are discussed
Keywords :
digital simulation; genetic algorithms; mobile robots; neurocontrollers; robot programming; alternative programming techniques; autonomous robot control; autonomous robot simulator; computational aspects; genetic algorithms; neural networks; non-structured environment; Computational modeling; Equations; Genetic algorithms; Humans; Neural networks; Optimization methods; Proposals; Robot control; Robot programming; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 1999. Proceedings. ETFA '99. 1999 7th IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-5670-5
Type :
conf
DOI :
10.1109/ETFA.1999.815350
Filename :
815350
Link To Document :
بازگشت