Autonomous mobile robot localization is one of the most important research branches of intelligent robot. It is the prerequisite to realize robotic navigation.
自主移动机器人定位是智能机器人领域的一个重要研究方向，是实现机器人导航的前提。
Secondly, the progress of mobile robot localization based on particle filters is described.
然后，介绍了基于粒子滤波器的移动机器人定位研究进展。
The main content of mobile navigation system contains mobile robot localization and path-planning.
移动机器人导航系统主要内容包括移动机器人的定位和路径规划。
Absrtact: the problem of robot localization in the process of multi-robot formation was studied in this paper.
摘要：主要研究了多机器人编队过程中机器人的定位问题。
Mobile robot localization is the problem of determining a robot's pose relative to its environment from sensor data.
移动机器人定位问题就是通过传感器数据来确定自己的位姿。
This filter could filter the fluctuation and compensate error accumulation of sensors and could achieve good precision of robot localization.
该滤波器可以补偿传感器的累积误差，消除输出波动，实现机器人较高精度的定位。
A localization algorithm based on visual protractor was proposed in order to solve the problem of mobile robot localization in outdoor environments.
针对移动机器人在室外环境中的定位提出了一种基于视觉量角计的定位算法。
A localization algorithm based on visual protractor was proposed in order to solve the problem of mobile robot localization in outdoor environments.
针对移动机器人在室外环境中的定位提出了一种基于视觉量角计的定位算法。
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