Building an environment map and navigation of an autonomous mobile robot

Alfredo Alvarado, Hector Vargas
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Abstract

For any vehicle or mobile robot can be considered independent should be able to navigate on their environment. In this paper is exposed, emphasizing the localization algorithms (SLAM and AMCL) and the Potential Fields Planification (PFP) algorithm, the integration and implementation of one of the most used Robotics navigation methods in the service robot Donaxi@HOME. This method is enough precise and dynamic to be adapted to any type of land vehicle that you want to automate, if it has the minimum requirements.
构建自主移动机器人的环境地图和导航
对于任何车辆或移动机器人来说,都可以被认为是独立的,应该能够在他们的环境中导航。本文重点介绍了定位算法(SLAM和AMCL)和势场平面化(PFP)算法,在服务机器人Donaxi@HOME中集成和实现了最常用的机器人导航方法之一。这种方法足够精确和动态,适用于任何类型的陆地车辆,你想要自动化,如果它有最低要求。
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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