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Mobile Robot Localization by Tracking Built-in Encoders

机译:通过跟踪内置编码器来定位移动机器人定位

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Localization is important for a mobile robot to accurately locate its position and orientation so as to accomplish its task. Most of the existing algorithms are based on sonar sensors, infrared sensor, laser range finders, or artificial landmarks. In this paper, we describe encoder-based mobile robot localization. By tracking the rotation degrees of embedded encoders, degree sum can be converted to the distance a robot moved; degree difference can be computed to derive the degree of a robot turned. The mathematic model concludes 6 simple steps and equations to implement in any available programming language. Experiment results show that the accuracy is quite acceptable. This research also help our team got a "Good" award in a national robot competition.
机译:本地化对于移动机器人来说很重要,以准确定位其位置和方向,以完成其任务。大多数现有算法基于声纳传感器,红外传感器,激光范围查找器或人工地标。在本文中,我们描述了基于编码器的移动机器人本地化。通过跟踪嵌入式编码器的旋转度,可以将学位和转换为机器人移动的距离;可以计算度量差异来导出转动的机器人的程度。数学模型总结了6个简单的步骤和方程,以便以任何可用的编程语言实现。实验结果表明,准确性是非常可接受的。这项研究还帮助我们的团队在国家机器人竞争中获得了“好”奖。

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