DocumentCode
394454
Title
Communication of a partner robot using behavior knowledge
Author
Kubota, Naoyuki ; Hisajima, Duisuke ; Kojima, Fumio ; Fukuda, Toshio
Author_Institution
Fac. of Eng., Fukui Univ., Japan
Volume
4
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
2098
Abstract
This paper deals with action learning for communication of a partner robot interacting with a human. Fuzzy inference rule sets are used as temporal behavior knowledge for the partner robot, while modular neural networks are used for learning action rules through interaction with the human. Consequently, the robot extracts action rules from behavior knowledge. Finally, we discuss the communication of the partner robot with the human through navigation experiments.
Keywords
fuzzy set theory; inference mechanisms; learning (artificial intelligence); neural nets; robots; action learning; action rules; behavior knowledge; fuzzy inference; modular neural networks; partner robot; temporal behavior knowledge; Competitive intelligence; Fuzzy neural networks; Fuzzy sets; Human robot interaction; Intelligent robots; Intelligent structures; Knowledge engineering; Navigation; Positron emission tomography; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1199046
Filename
1199046
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