A study of Monte Carlo localization on robot operating system

Fitriatul Aini, A. N. Jati, U. Sunarya
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引用次数: 14

Abstract

Localization is one of the problems that often appears in the world of robotics. Monte Carlo Localization (MCL) are the one of the popular algorithms in localization because easy to implement on issues Global Localization. This algorithm using particles to represent the robot position. MCL can simulated by Robot Operating System (ROS) using robot type is Pioneer3-dx. In this paper we will discuss about this algorithm on ROS, by analyzing the influence of the number particle that are used for localization of the actual robot position.
机器人操作系统的蒙特卡罗定位研究
定位是机器人世界中经常出现的问题之一。蒙特卡罗定位算法(MCL)由于易于实现而成为当前定位中比较流行的算法之一。该算法使用粒子来表示机器人的位置。MCL可以用机器人操作系统(ROS)模拟,机器人型号为先锋3-dx。在本文中,我们将通过分析用于机器人实际位置定位的粒子数对ROS的影响来讨论该算法。
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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