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Paper Abstract and Keywords
Presentation 2015-12-17 16:10
Multimodal Learning of Object Concepts and Word Meanings by Robots
Joe Nishihara, Tatsuya Aoki, Tomoaki Nakamura, Takayuki Nagai (UEC) CNR2015-21
Abstract (in Japanese) (See Japanese page) 
(in English) In previous works, we have shown that robots can learn concepts and word meanings by categorizing multimodal information such as visual, audio, haptic, and word information, that is acquired from their physical embodiments. However, the experiment settings are limited to small scale of objects. In this study, we develop an unsupervised online learning framework to realize long-term online concept and word learning, based on online Multimodal Hierarchical Dirichlet Process (oMHDP). Thanks to oMHDP, the robot can make online estimation of the number of concepts. Another important property of the proposed framework is to learn multimodal concepts and the language model simultaneously. This mutual learning framework of concepts and language improves speech recognition and multimodal categorization performance each other. We are implementing this framework to the robot and conducting experiment of mutual concept learning through interaction with human for a month. In this paper, the effectiveness of proposed method is discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Multimodal categorization / concept learning / learning of word meanings / symbol emergence / language model / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 375, CNR2015-21, pp. 29-33, Dec. 2015.
Paper # CNR2015-21 
Date of Issue 2015-12-10 (CNR) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee CNR  
Conference Date 2015-12-17 - 2015-12-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To CNR 
Conference Code 2015-12-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Multimodal Learning of Object Concepts and Word Meanings by Robots 
Sub Title (in English)  
Keyword(1) Multimodal categorization  
Keyword(2) concept learning  
Keyword(3) learning of word meanings  
Keyword(4) symbol emergence  
Keyword(5) language model  
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1st Author's Name Joe Nishihara  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Tatsuya Aoki  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Tomoaki Nakamura  
3rd Author's Affiliation The University of Electro-Communications (UEC)
4th Author's Name Takayuki Nagai  
4th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2015-12-17 16:10:00 
Presentation Time 30 minutes 
Registration for CNR 
Paper # CNR2015-21 
Volume (vol) vol.115 
Number (no) no.375 
Page pp.29-33 
#Pages
Date of Issue 2015-12-10 (CNR) 


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