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Paper Abstract and Keywords
Presentation 2005-09-21 11:10
Developmental Word Grounding Through Growing Neural Network with Humanoid Robot
Ryo Kojima, Osamu Hasegawa (TITech)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an unsupervised approach of integrating speech and visual information without using any prepared data, which enables a humanoid robot to learn words with their meanings. The approach is different from most other existing approaches in that it learns online from audio-visual input, rather than from stationary data provided in advance. In addition, it is capable of learning incrementally which is considered to be indispensable to lifelong learning. A noise-robust self-organized growing neural network is developed to represent the topological structure of unsupervised online data. We are also developing an active learning mechanism, called ”desire for knowledge”, to let the robot select the object with the least information for subsequent learning. Experimental results show that it makes the learning process more effcient.
Keyword (in Japanese) (See Japanese page) 
(in English) Growing neural network / Symbol grounding / knowledge acquisition / multi-modal / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 301, PRMU2005-57, pp. 35-40, Sept. 2005.
Paper # PRMU2005-57 
Date of Issue 2005-09-14 (NLC, PRMU) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee PRMU NLC  
Conference Date 2005-09-21 - 2005-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2005-09-PRMU-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Developmental Word Grounding Through Growing Neural Network with Humanoid Robot 
Sub Title (in English)  
Keyword(1) Growing neural network  
Keyword(2) Symbol grounding  
Keyword(3) knowledge acquisition  
Keyword(4) multi-modal  
Keyword(5) machine learning  
1st Author's Name Ryo Kojima  
1st Author's Affiliation Tokyo Institute of Technology (TITech)
2nd Author's Name Osamu Hasegawa  
2nd Author's Affiliation Tokyo Institute of Technology (TITech)
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Date Time 2005-09-21 11:10:00 
Presentation Time 30 
Registration for PRMU 
Paper # IEICE-NLC2005-30,IEICE-PRMU2005-57 
Volume (vol) IEICE-105 
Number (no) no.299(NLC), no.301(PRMU) 
Page pp.35-40 
#Pages IEICE-6 
Date of Issue IEICE-NLC-2005-09-14,IEICE-PRMU-2005-09-14 

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