移动多机器人自组织网络的协调合作定位

Dimitrios Koutsonikolas, Saumitra M. Das, Y. C. Hu, Yung-Hsiang Lu, C.S.G. Lee
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引用次数: 20

摘要

移动机器人团队特别适合基础设施不可用或损坏的应用程序,因为它们可以用来快速形成以分布式方式执行任务的无基础设施移动自组织网络。在这样的部署场景中,单个机器人的本地化对于启用许多应用程序至关重要。本文提出了一种低成本、快速部署、节能且具有合理精度的移动多机器人Ad Hoc网络协调协作定位方法。在CoCoA中,移动机器人团队中只有一小部分机器人配备了外部定位设备(例如GPS、激光测距仪、视觉传感器)。随后,当机器人执行任务时,它们会相互合作,帮助彼此定位,而不需要部署静态地标。此外,CoCoA可以协调机器人的定位操作,降低能耗。通过详细的仿真和基于实验数据校准的定位模型,我们发现CoCoA在提供良好的定位精度的同时有效地降低了能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks
Mobile robot teams are particularly suited to applications where infrastructure is unavailable or damaged since they can be used to quickly form an infrastructure-less mobile ad hoc network performing tasks in a distributed manner. In such deployment scenarios, localization of individual robots is essential for enabling many applications. In this paper, we propose CoCoA, Coordinated Cooperative localization for mobile multi-robot Ad Hoc Networks, that is low-cost, quickly deployable, energy-efficient, and provides reasonable accuracy for the applications. In CoCoA, only a subset of the robots in the mobile robot team are equipped with external localization devices (e.g. GPS, laser rangers, vision sensors). Subsequently, while robots perform their tasks, they cooperate to help localize each other without requiring static landmarks to be deployed. In addition, CoCoA coordinates the localization operations of robots to reduce energy consumption. Using detailed simulations and localization models calibrated from experimental data, we find that CoCoA is effective in reducing energy consumption while providing good localization accuracy.
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