• DocumentCode
    565666
  • Title

    Interactive robot task training through dialog and demonstration

  • Author

    Rybski, Paul E. ; Yoon, Kevin ; Stolarz, Jeremy ; Veloso, Manuela M.

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2007
  • fDate
    9-11 March 2007
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    Effective human/robot interfaces which mimic how humans interact with one another could ultimately lead to robots being accepted in a wider domain of applications. We present a framework for interactive task training of a mobile robot where the robot learns how to do various tasks while observing a human. In addition to observation, the robot listens to the human´s speech and interprets the speech as behaviors that are required to be executed. This is especially important where individual steps of a given task may have contingencies that have to be dealt with depending on the situation. Finally, the context of the location where the task takes place and the people present factor heavily into the robot´s interpretation of how to execute the task. In this paper, we describe the task training framework, describe how environmental context and communicative dialog with the human help the robot learn the task, and illustrate the utility of this approach with several experimental case studies.
  • Keywords
    human-robot interaction; humanoid robots; intelligent robots; learning (artificial intelligence); mobile robots; speech processing; task analysis; training; communicative dialog; environmental context; human speech; human-robot interfaces; humans interaction; interactive robot task training; location context; mobile robot; robot interpretation; robot learning; robot listening; speech interpretation; task execution; Abstracts; Robots; Human-robot interaction; Learning by demonstration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2007 2nd ACM/IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-59593-617-2
  • Type

    conf

  • Filename
    6251716