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Fast and robust self-organization for micro-electro-mechanical robotic systems

机译:用于微机电机器人系统的快速而强大的自组织

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Microrobots are low-power and low-capacity memory devices that can sense and act. They perform various missions and tasks in a wide range of applications including odor localization, firefighting, medical service, surveillance and security, search and rescue. To achieve these tasks nodes should reconfigure their physical topology to another target organization. The self-organization is one of the most challenging tasks in MEMS applications. In this paper, we propose a distributed and efficient parallel self-organization protocol for chains of MEMS nodes. This protocol is memory-efficient because it does not use the predefined positions of the target shape, which reduces the memory usage to a constant complexity. Our algorithm is implemented in a real environment simulator called DPRSim, the Dynamic Physical Rendering Simulator. (C) 2015 Elsevier B.V. All rights reserved.
机译:微型机器人是可以感知并起作用的低功耗和低容量存储设备。它们在各种应用中执行各种任务和任务,包括气味定位,消防,医疗服务,监视和安全,搜索和救援。为了完成这些任务,节点应将其物理拓扑重新配置给另一个目标组织。自组织是MEMS应用中最具挑战性的任务之一。在本文中,我们为MEMS节点链提出了一种分布式且高效的并行自组织协议。该协议是内存有效的,因为它不使用目标形状的预定义位置,从而将内存使用降低到恒定的复杂度。我们的算法是在称为DPRSim的真实环境模拟器中实现的,该模拟器是动态物理渲染模拟器。 (C)2015 Elsevier B.V.保留所有权利。

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