Title :
Online robot tracking using genetic algorithms
Author :
Barrido, Shirley C. ; Dadios, Elmer P.
Author_Institution :
Coll. of Comput. Studies, De La Salle Univ., Manila, Philippines
Abstract :
This paper presents the applicability of using a genetic algorithm (GA) for robot tracking inside a predefined environment in real time. The GA is used to determine the position of a moving robot inside a soccer robot field. A proposed new crossover algorithm is presented. A video file and an image containing the robot´s physical appearance (robot template) are inputs to the system. Experimental results show that GA is able to locate the robot.
Keywords :
genetic algorithms; image colour analysis; mobile robots; robot vision; tracking; color histogram; crossover algorithm; genetic algorithms; moving robot; online robot tracking; predefined environment; real time; robot physical appearance; robot template; robot vision; soccer robot field; video file; Biological cells; Electrical equipment industry; Evolution (biology); Genetic algorithms; Intelligent robots; Layout; Machine vision; Robot vision systems; Robotic assembly; Service robots;
Conference_Titel :
Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7620-X
DOI :
10.1109/ISIC.2002.1157810
