• DocumentCode
    2541036
  • Title

    Learning navigation for recharging a self-sufficient colony robot

  • Author

    Parker, Gary ; Zbeda, Richard

  • Author_Institution
    Connecticut Coll., New London
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    734
  • Lastpage
    740
  • Abstract
    It is desirable that colony robots be autonomous and self-sufficient, which requires that they can perform their duties while maintaining enough energy to operate. In previous work, we reported the equipping of legged robots with high capacitance capacitors for power storage and the configuration of one of these robots to make practical use of its power storage in a colony recharging system. Research reported in this paper involves the learning of a control program that allows this robot to navigate to a charging station. The viability of the configuration and the learned control program were verified by observing the actual robot as it operated using the best of the solutions produced in simulation.
  • Keywords
    genetic algorithms; intelligent robots; learning systems; mobile robots; multi-robot systems; navigation; path planning; autonomous robot; control program learning; cyclic genetic algorithm; navigation learning; self-sufficient colony robot recharging; Batteries; Capacitors; Ecosystems; Fuels; Legged locomotion; Mobile robots; Navigation; Power generation; Power supplies; Steel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4413695
  • Filename
    4413695