To Point or Not to Point? : How Cloud Intelligence Can Help Make Robots More Polite

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概要

• 論文の詳細を見る

• The design of behaviors for social robots is quite complex, but HRI behavior primitives developed for specific social situations can be used to encapsulate low-level details and simplify the design process. We present a study in which we developed and tested a model to select socially-appropriate pointing behaviors for a robot based on social and environmental conditions. New cloud-based approaches could make it possible to develop such behavior primitives locally and share them globally. Furthermore, "big data" approaches to mining interaction data could aid the development of such behavior primitives in the future, helping to improve the quality of robot services.

• 一般社団法人電子情報通信学会の論文
• 2013-06-07

著者

• Ishiguro Hiroshi

  Faculty Of Systems Engineering Wakayama University

• GLAS Dylan

  Inrelligent Robotics and Communication Labs., ATR

• KANDA Takayuki

  Inrelligent Robotics and Communication Labs., ATR

• LIU Phoebe

  Faculty of Engineering Science, Osaka University

• HAGITA Norihiro

  Inrelligent Robotics and Communication Labs., ATR

• ISHIGURO Hiroshi

  Faculty of Engineering Science, Osaka University

関連論文

• Reconstructing Environmental Structure by Virtual Omnidirectional Image Generation (コンピュータビジョンとイメージメディア研究報告)
• To Point or Not to Point? : How Cloud Intelligence Can Help Make Robots More Polite

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