2014年
How to Train Your Robot - Teaching service robots to reproduce human social behavior
2014 23RD IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN)
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- 巻
- 2014-October
- 号
- October
- 開始ページ
- 961
- 終了ページ
- 968
- 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/ROMAN.2014.6926377
- 出版者・発行元
- IEEE
Developing interactive behaviors for social robots presents a number of challenges. It is difficult to interpret the meaning of the details of people's behavior, particularly non-verbal behavior like body positioning, but yet a social robot needs to be contingent to such subtle behaviors. It needs to generate utterances and non-verbal behavior with good timing and coordination. The rules for such behavior are often based on implicit knowledge and thus difficult for a designer to describe or program explicitly. We propose to teach such behaviors to a robot with a learning-by-demonstration approach, using recorded human-human interaction data to identify both the behaviors the robot should perform and the social cues it should respond to. In this study, we present a fully unsupervised approach that uses abstraction and clustering to identify behavior elements and joint interaction states, which are used in a variable-length Markov model predictor to generate socially-appropriate behavior commands for a robot. The proposed technique provides encouraging results despite high amounts of sensor noise, especially in speech recognition. We demonstrate our system with a robot in a shopping scenario.
- リンク情報
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- DOI
- https://doi.org/10.1109/ROMAN.2014.6926377
- DBLP
- https://dblp.uni-trier.de/rec/conf/ro-man/LiuGKIH14
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000366603200157&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/conf/ro-man/ro-man2014.html#conf/ro-man/LiuGKIH14
- URL
- http://orcid.org/0000-0002-9546-5825
- ID情報
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- DOI : 10.1109/ROMAN.2014.6926377
- ISSN : 1944-9445
- DBLP ID : conf/ro-man/LiuGKIH14
- ORCIDのPut Code : 24705806
- SCOPUS ID : 84922757127
- Web of Science ID : WOS:000366603200157