• DocumentCode
    2620293
  • Title

    Task instruction by putting task information in work space

  • Author

    Nagata, Kazuyuki ; Wakita, Yujin ; Ono, Eiichi

  • Author_Institution
    Intelligent Syst. Res. Inst., National Inst. of Adv. Ind. Sci. & Technol., Tsukuba
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    305
  • Lastpage
    310
  • Abstract
    This paper presents a task instruction scheme for a service robot operating in a daily life environment. It is difficult for the robot to execute tasks automatically in the daily life environment, because it should handle various objects and the working environment is complex. In such an environment, the concept of shared autonomy by which the robot can share a task with a human is important. The task instruction that we propose is as follows: An operator clicks on a target object in a camera image and the system gets the position of the clicked point in the work space from the corresponding range image. Then, the operator selects the task model and attaches the task information to the position and the robot can perform its task safely and reliably using this task information. The features of the task instruction are as follows. An object model is composed of a list of task models which can be applied to the object category. The user recognizes the object type and its situation in the environment, and instructs a robot to execute a task by selecting a task model according to the object type and situation.
  • Keywords
    position control; robot vision; service robots; task analysis; telerobotics; automatic task execution; camera image; object model; service robot; shared autonomy; target object; task information; task instruction; Aerospace industry; Cameras; Humans; Intelligent robots; Intelligent systems; Orbital robotics; Robot vision systems; Robotics and automation; Service robots; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363804
  • Filename
    4209109