Paper Info
Title
Designing a control system for an autonomous robot using an evolutionary algorithm
Abstract
Hand-design of control systems for autonomous robots that act in dynamic or noisy environments is a complex task. In this paper, a new technique for controller design, termed decisionvector, is presented. An evolutionary approach is proposed: the control systems (candidate solutions) are made up of the set of robot states with respect to the obstacles it can detect, and the corresponding actions to take on each one of those situations. This initial work carries out the evolution of controllers in two environments, so that it is clear that, in spite of the simplicity of the proposed model, it is powerful enough to guide the robot to reach a target avoiding obstacles, and even, tracking a spread mark on the ground.
Year
DOI
Venue
2005
10.1007/11494669_84
IWANN
Keywords
Field
DocType
control system,evolutionary algorithm
Social robot,Robot control,Evolutionary algorithm,Evolutionary robotics,Computer science,Artificial intelligence,Autonomous system (mathematics),Control system,Robot,Autonomous robot
Conference
Volume
ISSN
ISBN
3512
0302-9743
3-540-26208-3
Citations 
PageRank 
References 
0
0.34
5
Authors
5
Name
Order
Citations
PageRank
Pedro A. Castillo Valdivieso131832.41
Gustavo Romero219723.79
Maribel García Arenas323126.53
J. J. Merelo436333.51
Alberto Prieto579397.13