基于概率劳埃德法的机器人在线区域覆盖方法

M. R. Batista, R. Calvo, R. Romero
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引用次数: 5

摘要

区域覆盖是机器人技术可以应用的标准问题。解决这个问题的一种方法是通过基于质心Voronoi镶嵌(CVT)的技术,考虑到每个机器人都是一个用于构建Voronoi多边形的生成器。本文提出了一种新的方法,即样本劳埃德区域覆盖系统(SLACS),该方法不需要基于概率劳埃德方法明确地构建图来估计Voronoi多边形的质心。此外,提出了一种封闭Voronoi图的方法,适用于经典劳埃德无级变速器程序。在使用玩家界面和舞台模拟器进行的模拟测试中,对两种方法在空环境和房间环境中进行了比较。结果表明,该方法可以很好地解决移动传感器部署的区域覆盖问题,是Lloyd CVT方法的一种简单有效的替代方法。
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A robot on-line area coverage approach based on the probabilistic Lloyd method
Area Coverage is a standard problem in which Robotics techniques can be applied. An approach to solve this problem is through techniques based on Centroidal Voronoi Tesselations (CVT), considering that each robot is a generator used to build Voronoi polygons. In this work, a new approach named by Sample Lloyd Area Coverage System (SLACS), is proposed that does not need of the explicit building of the diagram based in the Probabilistic Lloyd method to estimate a Voronoi polygon's centroid. In addition, it is proposed a method to close Voronoi diagrams to apply in a classic Lloyd CVT procedure. Both approaches are compared in empty and roomlike environments done in simulated tests using both Player interface and Stage simulator. Results obtained show that the proposed approach is well suited to solve the area coverage problem via mobile sensor deployment and it is a simple and effective substitute to a Lloyd CVT method.
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