Virtual Experiments on Mobile Robot Localization with External Smart RGB-D Camera Using ROS

Kirill Kononov, Roman Lavrenov, T. Tsoy, E. Martínez-García, E. Magid
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引用次数: 1

Abstract

Precise robot localization is important for all mobile robots, which has to deal with accumulating odometry errors, onboard sensory noise, harsh environmental conditions, unstable or missing GPS signal, and absence or uncertainties of a global map. Yet, localization is considered in Smart Environments applying dynamic connectivity with external local sensors within the Internet of Things (IoT) paradigm. This paper presents experimental results of robot indoor localization using a single external smart RGB-D camera. The virtual experiments were performed in the ROS Gazebo simulator with Turtlebot3 Waffle Pi mobile robot model. Three types of robot motion within a virtual office environment were considered: static state, linear motion, and three different cases of curvilinear locomotion. In all cases, external RGB-D camera usage allowed to obtain a reasonably accurate location of the robot.
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基于ROS的外接智能RGB-D相机移动机器人定位虚拟实验
对于所有的移动机器人来说,精确的机器人定位是非常重要的,它必须处理累积的里程误差,机载感官噪声,恶劣的环境条件,不稳定或缺失的GPS信号,以及缺乏或不确定的全球地图。然而,在物联网(IoT)范例中,在智能环境中应用与外部本地传感器的动态连接来考虑本地化。本文介绍了利用单个外接智能RGB-D摄像头实现机器人室内定位的实验结果。利用Turtlebot3华夫派移动机器人模型在ROS Gazebo模拟器上进行了虚拟实验。在虚拟办公环境中考虑了三种类型的机器人运动:静态运动、线性运动和三种不同的曲线运动。在所有情况下,使用外部RGB-D相机可以获得机器人的合理准确位置。
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