Toward a competitive pool playing robot: Is computational intelligence needed to play robotic pool?

被引：1

作者：

Greenspan, Michael ^{[1
,2
]}

Lam, Joseph ^{[1
]}

Leckie, Will ^{[1
]}

Godard, Marc ^{[2
]}

Zaidi, Imran ^{[2
]}

Anderson, Ken ^{[1
]}

Dupuis, Donna ^{[1
]}

Jordan, Sam ^{[1
]}

机构：

[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada

[2] Queens Univ, Sch Comp, Kingston, ON, Canada

来源：

2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND GAMES | 2007年

基金：

加拿大创新基金会; 加拿大自然科学与工程研究理事会;

关键词：

computational intelligence; robotics; intelligent systems; computer vision; games; pool;

D O I：

10.1109/CIG.2007.368124

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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, Le. 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.

引用

页码：380 / 388

页数：9

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