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
Link To Document :
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