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
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- 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.
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.
- ID情報
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- DOI : 10.1109/IROS.2013.6696675
- ISSN : 2153-0858
- ISSN : 2153-0866
- SCOPUS ID : 84893785904