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