Probabilistic kick selection in robot soccer

R. Dodds, P. Vallejos, J. Ruiz-del-Solar
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引用次数: 5

Abstract

Kick selection is an important issue in robot soccer that has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach to kick selection, which includes kick objective selection based on priorities. The proposed selection methodology is based on the maximization of the probability of success of the kick (the ball reaches the objective position). Experimental results of the proposed methodology show a high kick success rate, and give evidence of achieving accurate objectives even when using a set of imprecise kicks
机器人足球的概率踢法选择
踢球选择是机器人足球中的一个重要问题,但机器人世界杯研究团体对这个问题的研究还不够深入。本文提出了一种基于优先级的踢腿目标选择的概率方法。所提出的选择方法是基于踢球成功概率的最大化(球到达目标位置)。实验结果表明,该方法的踢井成功率很高,即使使用一组不精确的踢井,也能达到准确的目标
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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