• DocumentCode
    2716442
  • Title

    Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool?

  • Author

    Greenspan, Michael ; Lam, Joseph ; Leckie, Will ; Godard, Marc ; Zaidi, Imran ; Anderson, Ken ; Dupuis, Donna ; Jordan, Sam

  • Author_Institution
    Dept. Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    380
  • Lastpage
    388
  • Abstract
    This paper describes the development of Deep Green, an intelligent robotic system that is currently in development to play competitive pool against a proficient human opponent. The design philosophy and the main system components are presented, and the progress to date is summarized. We also address a common misconception about the game of pool, i.e. that it is purely a game of physical skill, requiring little or no intelligence or strategy. We explain some of the difficulties in developing a vision-based system with a high degree of positional accuracy. We further demonstrate that even if perfect accuracy were possible, it is still beneficial and necessary to play strategically.
  • Keywords
    intelligent robots; robot vision; sport; competitive pool playing robot; computational intelligence; game-of-physical skill; intelligent robotic system; positional accuracy; vision-based system; Cameras; Competitive intelligence; Computational intelligence; Humans; Intelligent robots; Mobile robots; Robot sensing systems; Robot vision systems; Robotics and automation; Wrist; Computational Intelligence; Computer Vision; Games; Intelligent Systems; Pool; Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0709-5
  • Type

    conf

  • DOI
    10.1109/CIG.2007.368124
  • Filename
    4219069