基于马尔可夫算法的多微型机器人协同定位

Dai Yi, Y. Guozheng
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引用次数: 1

摘要

机器人定位是机器人研究中最基本的问题之一,特别是在多机器人系统中。目前,大多数多微型机器人系统仅利用外部视觉摄像头提供位置信息,采用基于彩色图像分割技术的方法对每个机器人进行定位。该方法对系统硬件要求较高,但在实际仿真中鲁棒性较差。本文介绍了一种基于马尔可夫算法的多微型机器人定位方法,该方法不仅利用外部摄像机捕获的图像,而且利用每个机器人的运动模型来完成定位任务。它需要更少的系统资源,同时提供更健壮的结果。这种方法在处理具有大量微型机器人的系统时也具有可扩展性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative localization of multi micro-robots based on Markov algorithm
Robot localization is one of the most fundamental problems in robotic research, especially in multi-robots system. At present, most multi MICRO robots systems only utilize external vision camera to provide location information and adopt method based on chromatic image segmentation techniques to localize each robot. This method has high requirement on system hardware while is less robust to run in practical simulation. This paper introduces a localization method of multi micro-robots based on Markov algorithm, which not only uses image captured by external camera but also motion model of each robot to perform localization task. It requires less system resources while gives more robust results. This approach is also scalable and efficient to deal with a system that has a larger number of micro robots.
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