DocumentCode
354252
Title
Research on obstacle avoidance method for evolutionary robot based on artificial neural network
Author
Hongyan, Wang ; Jing-an, Yang ; Pei, Jiang
Author_Institution
Hefei Univ. of Technol., China
Volume
2
fYear
2000
fDate
2000
Firstpage
1252
Abstract
Obstacle avoidance behavior learning of evolutionary robot is realized by the use of artificial neural network in this paper. First, a robot learning environment and a robot model are presented and the implementation of evolutionary learning system is discussed. Then, the simulation experiments are carried out for obstacle avoidance learning system of intelligent robot that adopted evolutionary learning mechanism. Finally, the simulation results are analyzed and the further research direction is given
Keywords
collision avoidance; evolutionary computation; learning (artificial intelligence); mobile robots; neurocontrollers; artificial neural network; evolutionary learning system; evolutionary robot; obstacle avoidance learning system; Analytical models; Artificial neural networks; Intelligent robots; Learning systems; Robot sensing systems; Tactile sensors;
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.2000.863444
Filename
863444
Link To Document