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Object Recognition for Service Robots Based on Human Description of Object Attributes

Object Recognition for Service Robots Based on Human Description of Object Attributes

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カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/01/01

タイトル(英語): Object Recognition for Service Robots Based on Human Description of Object Attributes

著者名: Hisato Fukuda (Graduate School of Science and Engineering, Saitama University), Satoshi Mori (Graduate School of Science and Engineering, Saitama University), Katsutoshi Sakata (Graduate School of Science and Engineering, Saitama University), Yoshinori Ko

著者名(英語): Hisato Fukuda (Graduate School of Science and Engineering, Saitama University), Satoshi Mori (Graduate School of Science and Engineering, Saitama University), Katsutoshi Sakata (Graduate School of Science and Engineering, Saitama University), Yoshinori Kobayashi (Graduate School of Science and Engineering, Saitama University/Japan Science and Technology Agency (JST), PRESTO), Yoshinori Kuno (Graduate School of Science and Engineering, Saitama University)

キーワード: Human-Robot Interaction,Interactive Object Recognition

要約(英語): In order to be effective, it is essential for service robots to be able to recognize objects in complex environments. However, it is difficult for them to recognize objects autonomously without any mistakes in a real-world environment. Thus, in response to this challenge we conceived of an object recognition system that would utilize information about target objects acquired from the user through simple interaction. In this paper, we propose an interactive object recognition system using multiple attribute information (color, shape, and material), and introduce a robot using this system. Experimental results confirmed that the robot could indeed recognize objects by utilizing multiple attribute information obtained through interaction with the user.

本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.133 No.1 (2013) 特集:2012 Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2012)

本誌掲載ページ: 18-27 p

原稿種別: 論文/英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/1/133_18/_article/-char/ja/

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