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Intelligent learning technique based-on fuzzy logic for multi-robot path planning

机译:基于模糊逻辑的多机器人路径规划智能学习技术

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摘要

Soccer robot system is a tremendously challenging intelligent system developed to mimic human soc- cer competition based on the multi-discipline research: robotics, intelligent control, computer vision, etc. Robot path planning strategy is a very important subject concerning to the performance and intelligence degree of the multi-robot system. Therefore, this paper studies the path planning strategy of soccer system by using fuzzy log- ic. After setting up two fuzziers and two sorts of fuzzy rules for soccer system, fuzzy logic is applied to work- space partition and path revision. The experiment results show that this technique can well enhance the perform- ance and intelligence degree of the system.
机译:足球机器人系统是一个具有挑战性的智能系统,它是基于机器人,智能控制,计算机视觉等多学科研究而开发的,用于模拟人类足球比赛。机器人路径规划策略是与性能和智能有关的非常重要的课题。多机器人系统的程度。因此,本文采用模糊逻辑研究足球系统的路径规划策略。在为足球系统设置了两个模糊器和两种模糊规则之后,将模糊逻辑应用于工作区划分和路径修改。实验结果表明,该技术可以很好地提高系统的性能和智能程度。

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