DocumentCode
2102732
Title
Robots playing to win: evolutionary soccer strategies
Author
Agah, Arvin ; Tanie, Kazuo
Author_Institution
Biorobotics Div., AIST-MITI, Tsukuba, Japan
Volume
1
fYear
1997
fDate
20-25 Apr 1997
Firstpage
632
Abstract
Automatic development and learning of robot soccer strategies are presented in this paper. It is shown that using a novel control system, it is possible to allow teams of robots to acquire strategies for playing a better game of soccer through successive generations, utilizing simulated evolution. A number of soccer techniques, as developed through robot games, are discussed. The mechanism presented in the paper is suitable for other tasks requiring multiple robots to interact and cooperate in teams
Keywords
cooperative systems; learning (artificial intelligence); mobile robots; path planning; evolutionary soccer strategies; multiple robots; robot games; simulated evolution; successive generations; Automatic generation control; Control system synthesis; Energy efficiency; Laboratories; Mechanical engineering; Multirobot systems; Robot kinematics; Robot sensing systems; Robotics and automation; Strategic planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location
Albuquerque, NM
Print_ISBN
0-7803-3612-7
Type
conf
DOI
10.1109/ROBOT.1997.620107
Filename
620107
Link To Document