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基于Markov预测模型的动态足球机器人阵型策略方法 被引量：1

A Dynamic Team Formation Method of Robot Soccer Games Based on the Markov Forecasting Model
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摘要 本文设计并实现了一种新的实体机器人足球比赛中队伍阵型策略方法,此方法建立在对球的Markov预测模型基础上,将目标和阵型相融合,实现了阵型的动态选择以及阵型间的动态切换。 A new method of team formation strategy in solid robot soccer games is designed and implernented. The method is based on the Markov forecasting model of the ball and integrates the objectives and the formations. It realizes the dynamic choosing and switching of the formations.
作者 张浩 陈小平
机构地区 中国科学技术大学计算机系
出处 《计算机工程与科学》 CSCD 2007年第10期120-123,共4页 Computer Engineering & Science
基金 国家自然科学基金资助项目(60275024) 国家863计划资助项目(2001AA422200)
关键词 机器人足球 阵型 卡尔曼滤波 模糊评判 robot soccer formation Kalman filtering fuzzy judging
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献9

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共引文献36

同被引文献13

  • 1蔡剑怀,吴顺祥,缪克华,李茂青.RoboCup中基于神经网络的阵型策略[J].系统仿真学报,2006,18(1):237-239. 被引量：5
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计算机工程与科学
2007年 第10期

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