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Formation reconfiguration for mobile robots with network connectivity constraints

机译:具有网络连接限制的移动机器人的编队重配置

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摘要

Future systems of networked autonomous vehicles, such as unmanned aerial or ground vehicles, may rely on peer-to-peer wireless communication to coordinate their actions. The physical formation of the network may need to be reconfigured at times based on the specified missions. However, reconfiguring the physical formation also impacts the link connectivity and hence the connectivity of the network. If the network is partitioned, the autonomous vehicles can no longer coordinate their movements, and the mission may fail. In this article, we discuss techniques to transform the formation of a system of autonomous vehicles while preserving network connectivity. Several different approaches to address this problem are presented, with the focus on a method that utilizes ideas from routing packets in networks. We also briefly discuss the problem of formation selection and give an example of formation optimization in which communication costs are minimized under constraints on preserving network connectivity and the amount of movement required.
机译:诸如无人驾驶的空中或地面车辆之类的联网自动驾驶车辆的未来系统可能依赖于对等无线通信来协调其动作。根据指定的任务,有时可能需要重新配置网络的物理结构。但是,重新配置物理结构也会影响链路连接性,进而影响网络的连接性。如果网络是分区的,则自动驾驶汽车将无法再协调其运动,并且任务可能会失败。在本文中,我们将讨论在保持网络连接性的同时,改变自动驾驶汽车系统结构的技术。提出了几种解决此问题的方法,重点是利用网络中路由数据包的思想的方法。我们还简要讨论了编队选择问题,并给出了编队优化的示例,其中在保持网络连接性和所需移动量的约束下,通信成本降至最低。

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