A Human-Machine Interaction System: A Voice Command Learning System Using PL-G-SOM

Author

Kuremoto, Takashi ; Yamane, Tetsuya ; Feng, Liangbing ; Kobayashi, Kunikazu ; Obayashi, Masanao

Author_Institution

Grad. Sch. of Sci. & Eng., Yamaguchi Univ., Ube, Japan

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

This paper proposes a voice command learning system for partner robots acquiring communication ability with instructors. Parameter-less Growing Self-Organizing Map (PL-G-SOM), an intelligent pattern recognition model given by our previous work, is used and computational feeling of robots is also adopted to improve the human-machine interaction system. AIBO robot was used in the experiment and the results of real environment showed the effectiveness of the proposed methods.

Keywords

human-robot interaction; learning (artificial intelligence); neurocontrollers; robots; self-organising feature maps; AIBO robot; human-machine interaction system; intelligent pattern recognition model; parameter-less growing self-organizing map; partner robots; robot communication ability; robot computational feeling; voice command learning system; Educational institutions; Learning systems; Legged locomotion; Speech recognition; Tactile sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6579-8

Type

conf

DOI

10.1109/ICMSS.2011.5999339

Filename

5999339