• DocumentCode
    2322363
  • Title

    A Depth Sensing Display for Bomb Disposal Robots

  • Author

    Day, Brian ; Bethel, Cindy ; Murphy, Robin ; Burke, Jennifer

  • Author_Institution
    Inst. for Safety, Security & Rescue Technol., Univ. of South Florida, Tampa, FL
  • fYear
    2008
  • fDate
    21-24 Oct. 2008
  • Firstpage
    146
  • Lastpage
    151
  • Abstract
    This paper describes a visual display that provides depth of objects to be grasped and was developed at the request of a local bomb squad for use with a bomb disposal robot. The display provides four key functions: (1) it allows the operator to extract the distance between the object and the robot´s grasper that each pixel represents, (2) it cues the operator when the object is within a predefined distance from the robot grasper, (3) it can track the object in the video display, and (4) it can continuously display the distance from the robot grasper to the selected object. The display was designed specifically for the Canesta EP200 mounted on a Remotec mini-max robot, but the display functionality is expected to be useful for any robot grasper used in conjunction with a 3D sensor. While the usability of the visual display and its impact on grasper-related performance has not been formally evaluated, the informal feedback from the subject matter experts is that this display meets their requirements.
  • Keywords
    feature extraction; minimax techniques; service robots; 3D sensor; Canesta EP200; Remotec minimax robot; bomb disposal robots; depth sensing display; object tracking; pixel representation; robot grasper; video display; visual display; Laser feedback; Manipulators; Metalworking machines; Robot sensing systems; Safety; Security; Testing; Three dimensional displays; USA Councils; Weapons; HRI; Miniature Range Sensor; TOF; User Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Safety, Security and Rescue Robotics, 2008. SSRR 2008. IEEE International Workshop on
  • Conference_Location
    Sendai
  • Print_ISBN
    978-1-4244-2031-5
  • Electronic_ISBN
    978-1-4244-2032-2
  • Type

    conf

  • DOI
    10.1109/SSRR.2008.4745892
  • Filename
    4745892