基于里程计和Wi-Fi的低成本室内移动机器人导航

Cheng Chen, W. Chai, Ahmad Kamal Nasir, H. Roth
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引用次数: 6

摘要

对于移动机器人来说,位置和姿态的感知是一项重要而基本的能力。本文介绍了几种基于递归估计算法解决室内移动机器人定位问题的方法。来自低成本惯性测量单元的传感器信息、安装在车轮上的编码器和Wi-Fi融合在一起,以获得当前机器人的位置。由于不能忽视机器人动力学约束的本质特性,本文的方法涉及到这些约束的合并。最终结果基于现场试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low cost IMU based indoor mobile robot navigation with the assist of odometry and Wi-Fi using dynamic constraints
It is an important and fundamental ability for a mobile robot to know its position and attitude. This article introduces several approaches for solving an indoor mobile robot positioning problem based on recursive estimation algorithm. Sensor information from a low cost inertial measurement unit, wheel mounted encoders and Wi-Fi is fused to get current robot position. Since one cannot ignore the nature properties of robot dynamic constraints, the method purposed in this paper involves incorporation of those constraints. The final results are based on field experiment.
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