Mobile robot control using self-learning neural network

B. Markoski, S. Vukosavljev, Dragan D. Kukolj, Szilveszter Pletl
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引用次数: 10

Abstract

The paper describes the concept of the navigation system for a mobile robot. The system is using a navigation algorithm based on self-learning neural network, necessary to form a movement plan for a robot. The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars. Navigation algorithm is placed into a PC, which is connected to mobile robot by wireless and wired links. Experiments have shown ability of collision-free navigation of mobile robot in real time.
移动机器人的自学习神经网络控制
本文描述了移动机器人导航系统的概念。该系统使用了一种基于自学习神经网络的导航算法,这是机器人形成运动计划所必需的。将该算法应用于由两个独立轮驱动、编码器和一组近程声纳组成的移动机器人的真实平台导航。导航算法被放入PC机,PC机通过无线和有线链路与移动机器人相连。实验证明了移动机器人无碰撞实时导航的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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