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Automatic control of mobile robot based on autonomous navigation algorithm

机译:基于自主导航算法的移动机器人自动控制

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Autonomous navigation control is the key technology of mobile robot. The navigation algorithm of mobile robot is studied in this paper. A simultaneous localization and mapping (SLAM) algorithm based on particle filter is designed. Then, it is combined with VFH obstacle avoidance algorithm to obtain the navigation algorithm and conduct experiments on it. Through the simulation experiment in MATLAB environment, it is found that the use of SLAM algorithm can reduce the position error of the robot. The average error is 0.003 m, while the average position error without SLAM algorithm is about 0.009 m, which proves the reliability of SLAM algorithm. Then, the simulation experiment of the navigation algorithm also proves that the algorithm can avoid obstacles and reach the destination accurately. The research in this paper provides some theoretical references for the further development of autonomous navigation control of mobile robots.
机译:自主导航控制是移动机器人的关键技术。本文研究了移动机器人的导航算法。设计了一种基于粒子滤波的同步定位与映射算法。然后,将其与VFH避障算法结合,获得导航算法并对其进行实验。通过在MATLAB环境下的仿真实验,发现SLAM算法的使用可以减少机器人的位置误差。平均误差为0.003 m,无SLAM算法的平均位置误差约为0.009 m,证明了SLAM算法的可靠性。然后,导航算法的仿真实验也证明了该算法能够避开障碍物并准确到达目的地。本文的研究为移动机器人自主导航控制的进一步发展提供了一些理论参考。

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