• DocumentCode
    2925739
  • Title

    Vision-Based Autonomous Robot Self-Docking and Recharging

  • Author

    Kartoun, Uri ; Stern, Helman ; Edan, Yael ; Feied, Craig ; Handler, Jonathan ; Smith, Mark ; Gillam, Michael

  • Author_Institution
    Ben-Gurion Univ. of the Negev, Beer-Sheva
  • fYear
    2006
  • fDate
    24-26 July 2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a method for autonomous recharging of a mobile robot, a necessity for achieving long-term robotic activity without human intervention. A recharging station is designed consisting of a stationary docking station and a docking mechanism mounted to an ER-1 Evolution Robotics robot. The docking station and docking mechanism serve as a dual-power source, providing a mechanical and electrical connection between the recharging system of the robot and a laptop placed on it. Docking strategy algorithms use vision based navigation. The result is a significantly low-cost, high-entrance angle tolerant system. Iterative improvements to the system, to resist environmental perturbations and implement obstacle avoidance, ultimately resulted in a docking success rate of 100 percent over 50 trials.
  • Keywords
    mobile robots; navigation; power supplies to apparatus; robot vision; angle tolerant system; autonomous recharging; autonomous robot; evolution robotics robot; mobile robot; self-docking; vision based navigation; Hospitals; Humans; Infrared detectors; Mobile robots; Navigation; Robot control; Robot vision systems; Robotic assembly; Robotics and automation; Switches; Robotic mechanisms; autonomous navigation; machine vision; robot control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2006. WAC '06. World
  • Conference_Location
    Budapest
  • Print_ISBN
    1-889335-33-9
  • Type

    conf

  • DOI
    10.1109/WAC.2006.375987
  • Filename
    4259903