DocumentCode
399284
Title
Action learning of a mobile robot based on perceiving-acting cycle
Author
Kubota, Naoyuki ; Masuta, Hiroyuki
Volume
2
fYear
2003
fDate
27-31 Oct. 2003
Firstpage
1222
Abstract
This paper proposes a learning method of a mobile robot with structured intelligence in a changing environment. Modular neural networks are applied for action control based on perceiving-acting cycle of ecological psychology. The robot extracts action rules from the behavior knowledge described by fuzzy rules. Next, we conduct several experiments using a mobile robot. The experimental results show the robot can learn actions based on the perceiving-acting cycle.
Keywords
fuzzy set theory; intelligent control; learning (artificial intelligence); mobile robots; neurocontrollers; action learning method; behavior knowledge; changing environment; ecological psychology; fuzzy rules; mobile robot; modular neural networks; perceiving-acting cycle; structured intelligence; Artificial intelligence; Humans; Intelligent robots; Intelligent structures; Intelligent systems; Mobile robots; Neural networks; Psychology; Robot kinematics; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN
0-7803-7860-1
Type
conf
DOI
10.1109/IROS.2003.1248812
Filename
1248812
Link To Document