論文

査読有り
2013年

Long-term learning of concept and word by robots: Interactive learning framework and preliminary results

IEEE International Conference on Intelligent Robots and Systems
  • Takaya Araki
  • ,
  • Tomoaki Nakamura
  • ,
  • Takayuki Nagai

開始ページ
2280
終了ページ
2287
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IROS.2013.6696675

One of the biggest challenges in intelligent robotics is to build robots that can understand and use language. Such robots will be a part of our everyday life
at the same time, they can be of great help to investigate the complex mechanism of language acquisition by infants in constructive approach. To this end, we think that the practical long-term on-line concept/word learning algorithm for robots and the interactive learning framework are the key issues to be addressed. In this paper we develop a practical on-line learning algorithm that solves three remaining problems in our previous study. We also propose an interactive learning framework, in which the proposed on-line learning algorithm is embedded. The main contribution of this paper is to develop such a practical learning framework, and we test it on a real robot platform to show its potential toward the ultimate goal. © 2013 IEEE.

リンク情報
DOI
https://doi.org/10.1109/IROS.2013.6696675
ID情報
  • DOI : 10.1109/IROS.2013.6696675
  • ISSN : 2153-0858
  • ISSN : 2153-0866
  • SCOPUS ID : 84893785904

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