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A Voronoi Diagram-Based Workspace Partition for Weak Cooperation of Multi-Robot System in Orchard

机译:基于Voronoi图的工作空间分区,用于果园中多机器人系统的弱合作

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摘要

Nowadays, multi-robot systems are being utilized to perform agricultural tasks. It is particularly essential to robotize pesticide spraying because of the risk of poisoning workers. However, the problem is that the human-driven sprayers are big size, and diffcult to maneuver in many orchards. Therefore, heavy spraying robots must be replaced with lighter robots. Also, it takes a lot of times to perform spraying using only one sprayer in a large orchard. To achieve this goal, the multi-robot system (MRS) can be applied to the spraying by robot cooperation to improve performance. In this study, we developed a task allocation system based on a Voronoi diagram for a multi-robot spraying system in an orchard. The seed point for area partition using the Voronoi diagram was obtained through node clustering using a k -means clustering algorithm. In the experiment, workspaces were partitioned according to the number of robots, from 2 to 10. A total of four metrics were used to evaluate the performance of the system. The results confrmed that our task allocation system is applicable to real orchards.
机译:如今,正在利用多机器人系统来执行农业任务。由于中毒工人的风险,为机器人喷涂是特别要说。然而,问题是人类驱动的喷雾器是大的尺寸,并且在许多果园中的操纵中的差异。因此,重型喷涂机器人必须用打火机更换。此外,需要花费大量的一个喷雾器在大果园中进行喷涂需要很多时间。为实现这一目标,多机器人系统(MRS)可以通过机器人合作应用于喷涂以提高性能。在这项研究中,我们开发了一种基于果园中的多机器人喷涂系统的Voronoi图的任务分配系统。使用VORONOI图的区域分区的种子点通过使用k -means聚类算法通过节点聚类获得。在实验中,根据机器人的数量来分区工作区,从2到10。总共使用四个度量来评估系统的性能。结果与我们的任务分配系统适用于真正的果园。

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