• DocumentCode
    2378856
  • Title

    Tankbot: A miniature, peeling based climber on rough and smooth surfaces

  • Author

    Unver, Ozgur ; Sitti, Metin

  • Author_Institution
    Department of Mechanical Engineering, Carnegie Mellon University, 422 Scaife Hall, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    2282
  • Lastpage
    2287
  • Abstract
    Tankbot is a miniature, energy efficient, lightweight (60 g), and robust climbing robot. It uses the continuous detachment force (peeling) of the flat, bulk tacky elastomer tread to climb. An optimum peeling angle with a preliminary analysis of the pretension effect, and the tread force distributions are presented. A passive tail transfers the peeling force from the rear wheel to the front and ensures intimate continuous contact with the surface. Tankbot works in any orientation on smooth surfaces, such as glass and acrylic, of all slope angles (0 – 360 degrees). However, the robot can only work vertically on relatively rough surfaces in any direction, such as wood, metal, painted wall, and painted brick. Tankbot can carry a payload of up to 40 g and 100 g on inverted and vertical surfaces, respectively. In addition, the robot can go over obstacles up to 15 mm tall on smooth vertical surfaces. Internal transitioning from horizontal to vertical and vertical to horizontal and external transitioning from vertical to the horizontal are also achieved. The potential applications of this robot include inspection, exploration, maintenance, cleaning, repair, and search and rescue.
  • Keywords
    Climbing robots; Energy efficiency; Glass; Mobile robots; Payloads; Robustness; Rough surfaces; Surface roughness; Tail; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152304
  • Filename
    5152304