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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863431
