• DocumentCode
    1636014
  • Title

    Using human approach paths to improve social navigation

  • Author

    Avrunin, Eleanor ; Simmons, Rod

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2013
  • Firstpage
    73
  • Lastpage
    74
  • Abstract
    Here we have presented a small study collecting human social navigation data, and a method for adding an approximation of human social rules for approaching others to a robot´s autonomous navigation by using a model of those data. For a robot to adhere to those social rules when it moves through human environments would make its navigation more predictable and familiar to humans, who have years of experience with other human agents following those rules, thus potentially improving their acceptance of the robot´s presence.
  • Keywords
    approximation theory; human-robot interaction; mobile robots; path planning; social aspects of automation; data model; human agents; human approach paths; human social navigation data collection; human social rules approximation; robot autonomous navigation; social navigation improvement; Data models; Educational institutions; Electronic mail; Magnetic heads; Navigation; Robots; Torso; human-robot interaction; navigation; proxemics; social navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4673-3099-2
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • DOI
    10.1109/HRI.2013.6483507
  • Filename
    6483507