Action learning of a mobile robot with structured intelligence in a dynamic environment

被引：0
|
作者：
Kubota, N [1 ]
Masuta, H [1 ]
Kojima, F [1 ]
Fukuda, T [1 ]
机构：
[1] Univ Fukui, Dept Human & Artificial Intelligent Syst, Fukui 9108507, Japan
来源：
ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper deals with a controlling method of mobile robot with structured intelligence. Modular neural networks are applied for action control based on perceiving-acting cycle of ecological psychology. In the proposed method, the perceptual system and action system restrict each other through interaction with its environment We conduct several experiments using a mobile robot we developed. Experimental results show the robot can acquire actions in a dynamic environment Finally, we discuss the relationship between the complicatedness of a changing environment and the number of action patterns of modular neural networks.
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收藏
页码：2103 / 2107
页数：5
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