Behavior Evolution of Pet Robots with Human Interaction

Author

Inoue, Hiroyuki ; Miyagoshi, Hifumi

Author_Institution

Univ. of Fukui, Fukui

fYear

2007

fDate

5-7 Sept. 2007

Firstpage

23

Lastpage

23

Abstract

Recently, various robots have been used in the human life. Therefore, it is necessary that robots learn desirable behavior in order to establish a life of the cooperation between robots and human. In this paper, we propose methods using interactive genetic algorithms so that robots acquire the behavior that users like. These are a non-contact interaction method using a personal computer connected wireless LAN and a contact interaction method using the touch sensor. Also, We apply these methods to behavior acquisitions of the AIBO.

Keywords

genetic algorithms; interactive systems; learning (artificial intelligence); man-machine systems; robots; tactile sensors; wireless LAN; AIBO behavior acquisitions; human interaction; interactive genetic algorithms; noncontact interaction method; personal computer connected wireless LAN; pet robot behavior evolution; touch sensor; Educational robots; Genetic algorithms; Human robot interaction; Microcomputers; Microphones; Optimization methods; Positron emission tomography; Robot sensing systems; Tactile sensors; Wireless LAN;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on

Conference_Location

Kumamoto

Print_ISBN

0-7695-2882-1

Type

conf

DOI

10.1109/ICICIC.2007.197

Filename

4427670