| 引用本文: | 丁承君, 张明路, 段 萍.模糊神经网络在移动机器人信息融合中的应用[J].控制理论与应用,2004,21(1):59~62.[点击复制] |
| DING Cheng-jun, ZHANG Ming-lu, DUAN Ping.Application of fuzzy neural networks in information fusion for mobile robot[J].Control Theory and Technology,2004,21(1):59~62.[点击复制] |
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| 模糊神经网络在移动机器人信息融合中的应用 |
| Application of fuzzy neural networks in information fusion for mobile robot |
| 摘要点击 1349 全文点击 1351 投稿时间：2001-06-15 修订日期：2003-03-31 |
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| DOI编号 10.7641/j.issn.1000-8152.2004.1.012 |
| 2004,21(1):59-62 |
| 中文关键词 模糊神经网络 移动机器人 信息融合 运动物体 |
| 英文关键词 fuzzy neural networks mobile robot information fusion moving obstacle |
| 基金项目 河北省自然科学基金项目(501031); 天津市自然科学基金项目(003601211). |
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| 中文摘要 |
| 针对移动机器人所用的传感器,提出了一种用于多传感器信息融合的方法,将模糊逻辑和神经网络结合起来,构建了模糊神经网络,并建立了网络的计算模型.通过建立的模糊神经网络对移动机器人的多传感器信息进行融合,实现了移动机器人对动态环境中障碍和环境类型的实时识别以及无冲突运动.网络的训练和试验表明该方法在移动机器人躲避运动物体中是可行的. |
| 英文摘要 |
| An information fusion method of multi-sensor was proposed according to sensors used in mobile robots. The fuzzy logic and neural network were combined to construct fuzzy neural networks (FNN), and the calculating models of fuzzy neural networks were also put up. The mobile robot could recognize moving obstacles and environment types online, and could decide its action by using the information fusion method put forward, and thus realize mobile robot's movement without collision in dynamic environment. The training of network and test results indicated that the method which was used in avoiding moving obstacles of mobile robot is practicable and effective. |
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