Adaptive human-robot interaction system using interactive EC

Yuki Suga*, Chihiro Endo, Daizo Kobayashi, Takeshi Matsumoto, Shigeki Sugano, Tetsuya Ogata

*この研究の対応する著者

研究成果

1 被引用数 (Scopus)

抄録

We created a human-robot communication system that can adapt to user preferences that can easily change through communication. Even if any learning algorithms are used, evaluating the human-robot interaction is indispensable and difficult. To solve this problem, we installed a machine-learning algorithm called Interactive Evolutionary Computation (IEC) into a communication robot named WAMOEBA-3. IEC is a kind of evolutionary computation like a genetic algorithm. With IEC, the fitness function is performed by each user. We carried out experiments on the communication learning system using an advanced IEC system named HMHE. Before the experiments, we did not tell the subjects anything about the robot, so the interaction differed among the experimental subjects. We could observe mutual adaptation, because some subjects noticed the robot's functions and changed their interaction. From the results, we confirmed that, in spite of the changes of the preferences, the system can adapt to the interaction of multiple users.

本文言語English
ホスト出版物のタイトル2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
ページ3663-3668
ページ数6
DOI
出版ステータスPublished - 2006
イベント2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
継続期間: 2006 10 92006 10 15

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems

Conference

Conference2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
国/地域China
CityBeijing
Period06/10/906/10/15

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

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