多机器人团队的三边定位

ICINCO-RA Pub Date : 2016-11-25 DOI:10.5220/0001508803010307
Paul M. Maxim, S. Hettiarachchi, W. Spears, D. Spears, J. Hamann, Thomas Kunkel, C. Speiser
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引用次数: 35

摘要

机器人快速准确地定位其邻居的能力对机器人团队来说是极其重要的。先前的方法通常依赖于GPS、信标和地标提供的全球信息,或者依赖于视觉系统提供的复杂的局部信息。在本文中,我们描述了我们的多机器人定位的三边定位方法,该方法是完全分布式的,廉价的,可扩展的[15]。我们之前的研究[14]侧重于使用三边测量在室内维持多机器人编队。本文通过在室外环境中以更大的机器人间距离和更高的速度测试机器人编队,突破了我们的三边测量技术的极限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trilateration Localization for Multi-robot Teams
The ability of robots to quickly and accurately localize their neighbors is extremely important for robotic teams. Prior approaches typically rely either on global information provided by GPS, beacons and landmarks, or on complex local information provided by vision systems. In this paper we describe our trilateration approach to multi-robot localization, which is fully distributed, inexpensive, and scalable [15]. Our prior research [14] focused on maintaining multi-robot formations indoors using trilateration. This paper pushes the limits of our trilateration technology by testing formations of robots in an outdoor setting at larger inter-robot distances and higher speeds.
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