多机器人覆盖方法

R. Chellali, K. Baizid
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引用次数: 0

摘要

在本文中,我们提出了一个完整而有效的系统,允许部署N个半自主机器人,以覆盖给定区域进行视频监控和搜索。利用Voronoi镶嵌的新技术解决了覆盖问题。为了监督一个给定的区域,一组视点被提取出来,然后由一组移动漫游者访问。利用多目标遗传算法求解机器人路径问题。在运行阶段,机器人在执行预先设定的路径时同时处理运动和传感器的不确定性。给出了室内场景的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-robots coverage approach
In this paper we present a full and effective system allowing the deployment of N semi-autonomous robots in order to cover a given area for video surveillance and search purposes. The coverage problem is solved through a new technique based on the exploitation of Voronoi tessellations. To supervise a given area, a set of viewpoints are extracted, then visited by a group of mobile rover. Robots paths are calculated by resorting a salesman problem through Multi-objective Genetic Algorithms. In the running phase, robots deal with both motion and sensors uncertainties while performing the pre-established paths. Results of indoor scenario are given.
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