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Building Companionship through Human-Robot Collaboration

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 8239)

Abstract

While human-robot collaboration has been studied intensively in the literature, little attention has been given to understanding the role of collaborative endeavours on enhancing the companionship between humans and robots. In this position paper, we explore the possibilities of building the human-robot companionship through collaborative activities. The design guideline of a companion robot Nancy developed at SRL is introduced, and preliminary studies on human-robot collaboration conducted at SRL and I2R are elaborated. Critical issues and technical challenges in human-robot collaboration systems are discussed. Through these discussions, we aim to draw the attention of the social robotics community to the importance of human-robot collaboration in companionship building, and stimulate more research effort in this emerging area.

Keywords

  • Augmented Reality
  • Gesture Recognition
  • Task Allocation
  • Social Robot
  • Hand Gesture Recognition

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-02675-6_1
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Li, Y., Tee, K.P., Ge, S.S., Li, H. (2013). Building Companionship through Human-Robot Collaboration. In: Herrmann, G., Pearson, M.J., Lenz, A., Bremner, P., Spiers, A., Leonards, U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science(), vol 8239. Springer, Cham. https://doi.org/10.1007/978-3-319-02675-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-02675-6_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02674-9

  • Online ISBN: 978-3-319-02675-6

  • eBook Packages: Computer ScienceComputer Science (R0)