| 动态环境下自主式移动机器人的路径规划研究 |
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| 引用本文： | 辜吟吟,刘砚菊,陈亮. 动态环境下自主式移动机器人的路径规划研究[J]. 沈阳理工大学学报, 2007, 26(1): 10-12 |
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| 作者姓名： | 辜吟吟 刘砚菊 陈亮 |
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| 作者单位： | 沈阳理工大学,信息科学与工程学院,辽宁,沈阳110168 |
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| 摘 要： | 首先建立了超声传感器预测模型,然后基于多传感器融合的方法获取准确的动态环境信息,最后在利用遗传算法进行路径规划的基础上,引入模拟退火算法,形成一种遗传模拟退火算法来寻求全局最优路径.仿真结果表明,该算法是正确和有效的.
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| 关 键 词： | 路径规划 遗传算法 模拟退火 数据融合 |
| 文章编号： | 1003-1251(2007)01-0010-03 |
| 修稿时间： | 2006-04-14 |
A Path Planning Study of Autonomous Mobile Robot in Dynamic Environment |
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| GU Yin-yin,LIU Yan-ju,CHEN Liang. A Path Planning Study of Autonomous Mobile Robot in Dynamic Environment[J]. Transactions of Shenyang Ligong University, 2007, 26(1): 10-12 |
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| Authors: | GU Yin-yin LIU Yan-ju CHEN Liang |
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| Affiliation: | Shenyang Ligong University, Shenyang 110168,China |
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| Abstract: | In this paper,ultrasonic sensor predictive model is built firstly.Then the accurate dynamic environmental data is acquired based on the method of multisensor fusing.Finally,on the bases of path planning by using genetic algorithms,a genetic simulated annealing approach is formed by inducting simulated annealing approach to search the global optimal path.The simulation result shows that the method is correct and valid. |
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| Keywords: | path planning genetic algorithms simulated annealing data fusing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
