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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ETFA.1999.815350