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 :
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