DocumentCode
2344628
Title
Using genetic algorithm to optimize autonomous and cooperative behaviors of multiple mobile robots system
Author
Yong, Fan ; Shuo, Wang ; Min, Tan
Author_Institution
Lab. of Eng. Sci. for Complex Syst., Acad. Sinica, Beijing, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1192
Abstract
To exploit the advantages of a multiple mobile robots system, the robots must have some degree of autonomy and cooperation. However, autonomy and cooperation are contradictory to each other, which makes it difficult to optimize the control parameters of robot´s behaviors manually. Genetic algorithms are used in the paper to solve this problem. By altering the weightings of the autonomy and cooperation measures, the robots can exhibit different “personalities”, which is testified by a simulation experiment
Keywords
cooperative systems; genetic algorithms; intelligent control; mobile robots; multi-robot systems; autonomous behavior; autonomy; cooperative behavior; multiple mobile robots system; personalities; Genetic algorithms; Laboratories; Mobile robots; Optimization methods; Orbital robotics; Path planning; Robot control; Robot kinematics; Robot sensing systems; Robotics and automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863431
Filename
863431
Link To Document