路径规划应用于移动机器人GBot

Sujeimar Arroyave Restrepo, Juan Camilo Herrera Pineda
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引用次数: 2

摘要

本文的主要思想是对“应用于移动机器人GBot的路径规划”项目进行总体描述,其中包括所采取的方法,在移动机器人的数字图像处理和路径规划等领域实施的技术。此外,还有一节介绍了实现系统的性能和小分析。本文处理的问题是基于需要开发一个系统,使机器人能够从起点到终点。在没有事故或碰撞的情况下,通过两点之间最短的路线。为了实现这一目标,我们将颜色分割作为数字图像处理的主要技术。在路径规划中,你会发现在这项工作中,主要的工具是Voronoi图与搜索Dijkstra算法的结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path planning applied to the mobile robot GBot
The main idea of this paper is to present a general description of the project “path planning applied to a mobile robot GBot”, which includes items such as the approach taken, the implemented techniques in areas like digital image processing and path planning in mobile robots. Furthermore, there is a section that presents the performance and a small analysis of the implemented system. The problem treated in this paper, is based on the need to develop a system that allows to a robot to go from a starting point to an end point. Without mishaps or collisions through the shortest possible route between two points. To achieve this, we use color segmentation as main technique of digital image processing. While in path planning, you will found within this work that the main tool is the Voronoi diagram combined with the search Dijkstra algorithm.
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