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A SLAM approach to generation a 3D map for a robot that performs electrical power distribution maintenance work using a laser scanner

机译:使用激光扫描仪执行电力分配维护工作的机器人的3D地图生成3D地图的血液方法

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摘要

Up until recently, power distribution maintenance work at very high altitude, and high-voltage has been carried out manually. These tasks are usually very dangerous, as they threaten the lives of the workers performing them. Therefore, we started from this premise to conceive a more secure way to perform these power distribution works: The development of a robot which can perform autonomous distribution operations. The purpose of this study is to construct a three-dimensional model of the work environment around an electric utility pole, save it so that it can be processed and used by the robot, as the robot can perform autonomously maintenance work. In this paper, we introduce a method to build a 3-D model of the robot's working environment by superimposing a group of many 3-D point clouds to the group that was obtained using the laser range sensor in the Kinect2. The aggregation of these point clouds is done by the ICP (Iterative Closest Point) algorithm.
机译:直到最近,在非常高的高度的配电维护工作,并且手动进行高压。这些任务通常非常危险,因为他们威胁到了执行它们的工人的生命。因此,我们从这个前提开始设想一种更安全的方式来执行这些配电工作:可以执行自主分发操作的机器人的开发。本研究的目的是在电效用杆周围构建工作环境的三维模型,保存它,以便机器人可以处理和使用,因为机器人可以执行自主维护工作。在本文中,我们介绍了一种通过将多个3-D点云叠加到使用Kinect2中获得的组来构建机器人工作环境的三维模型的方法。这些点云的聚合由ICP(迭代最接近点)算法完成。

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