摘要
在本篇论文中较为详细地介绍了自主式移动机器人导航所需的各种传感器、多传感器信息融合技术和导航方法等。并在实验室内，利用 Ａ Ｎ Ｎ 方法和扩展卡尔曼滤波器实现了机器人的自动避障和导航，效果良好。
In this paper, various sensors, multiple sensor data fusion and navigation method needed in autonomous mobile robot are demonstrated in detail. Furthermore the experimental results show that in laboratory exploiting ANN method and Extended Kalman Filter can make the robot avoid obstacles efficiently and get to the target successfully.
出处
《山东矿业学院学报》
CAS
1999年第3期67-71,共5页
Journal of Shandong University of Science and Technology(Natural Science)
基金
煤炭科学基金
