| Intelligent learning technique based-on fuzzy logic for multi-robot path planning |
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| 作者姓名： | 孟庆春 殷波 熊建设 魏天滨 王旭柱 王汝霖 |
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| 作者单位： | 1. Dept. of Electronics Engineering，Ocean University of Qingdao，Qingdao 266003，China; 2.State Key Lab. of Intelligent Technology |
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| 摘 要： | 0 ＩＮＴＲＯＤＵＣＴＩＯＮＡｃｔｕａｌｌｙ,ｍｏｒｅａｎｄｍｏｒｅｇａｍｅｒｏｂｏｔｓｙｓｔｅｍｓａｒｅｓｈｏｗｎｏｕｔｉｎｔｈｅｗｏｒｌｄ .Ｏｆｔｈｅｍ ,ｓｏｃｃｅｒｒｏｂｏｔｓｙｓｔｅｍｓａｒｅｔｈｅｍｏｓｔｐｏｐｕｌａｒｏｎｅｓ .Ｓｏｍｅｗｏｒｌｄａｓｓｏｃｉａｔｉｏｎｓｏｆｓｏｃｃｅｒｒｏｂｏｔｈａｖｅｂｅｅｎｏｒｇａｎｉｚｅｄ .Ｔｈｅｉｒｃｏｍｐｅｔｉｔｉｏｎｓａｒｅｈｏｌｄｉｎｍａｎｙｃｏｕｎｔｒｉｅｓｅａｃｈｙｅａｒ.Ｓｏｃｃｅｒｒｏｂｏｔｓｙｓｔｅｍ(ＳＲＳ) (ｓｍａｌｌｓｉｚｅ)ｉ…
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Intelligent learning technique based-on fuzzy logic for multi-robot path planning |
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| Meng Qing-chun,YIN Bo,XIONG Jian-she,WEI Tian-bin,WANG Xu-zhu,WANG Yu-lin.Intelligent learning technique based-on fuzzy logic for multi-robot path planning[J].Journal of Harbin Institute of Technology,2001,8(3). |
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| Authors: | Meng Qing-chun YIN Bo XIONG Jian-she WEI Tian-bin WANG Xu-zhu WANG Yu-lin |
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| Abstract: | Soccer robot system is a tremendously challenging intelligent system developed to mimic human soccer 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 logic. After setting up two fuzziers and two sorts of fuzzy rules for soccer system, fuzzy logic is applied to workspace partition and path revision. The experiment results show that this technique can well enhance the performance and intelligence degree of the system. |
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| Keywords: | fuzzy logic multi agent system intelligent system robot path planning |
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