走向有竞争力的台球机器人:玩机器人台球需要计算智能吗?

M. Greenspan, Joseph Lam, W. Leckie, Marc Godard, Imran Zaidi, Ken Anderson, Donna C. Dupuis, Sam Jordan
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引用次数: 4

摘要

本文描述了Deep Green的开发,这是一个智能机器人系统,目前正在开发中,可以与熟练的人类对手进行竞技台球比赛。介绍了系统的设计思想和主要组成部分,并对目前的研究进展进行了总结。我们也要解决一个关于台球游戏的普遍误解,即它纯粹是一种身体技能的游戏,很少或根本不需要智力或策略。我们解释了开发具有高度定位精度的基于视觉的系统的一些困难。我们进一步证明,即使完美的准确性是可能的,战略性的发挥仍然是有益的和必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool?
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.
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