Self-Organized UWB Localization for Robotic Swarm – First Results from an Analogue Mission on Volcano Etna

Siwei Zhang, Pedro Fernandez Ruz, Fabio Broghammer, E. Staudinger, C. Gentner, R. Pöhlmann, A. Dammann, Manuel Schütt, R. Lichtenheldt
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Abstract

At the Institute of Communications and Navigation of the German Aerospace Center (DLR), we have studied and developed radio-based swarm navigation technologies for a decade. In this paper, we provide a complete solution of ultra-wide band (UWB) localization network for a robotic swarm. This network is organized in a fully decentralized fashion and resilient to clock imperfections, topology changes, packet loss and the hidden node problem. In this network, a multitude of active devices and an arbitrary number of passive devices can exploit the UWB signals for self-localization, i.e. estimating their relative positions and orientations, without sophisticated clock and antenna calibration, which dramatically simplifies the de-sign and manufacturing of such a swarm. Our proposed solution is verified with experiments and was successfully demonstrated in a space-analogue multi-robot surface exploration mission on the volcano Mt. Etna, Sicily, Italy, in July 2022.
机器人群的自组织超宽带定位——来自埃特纳火山模拟任务的初步结果
在德国航空航天中心(DLR)的通信和导航研究所,我们已经研究和开发了十年的基于无线电的群导航技术。本文给出了机器人群超宽带定位网络的完整解决方案。该网络以完全分散的方式组织,对时钟缺陷、拓扑变化、数据包丢失和隐藏节点问题具有弹性。在该网络中,大量有源设备和任意数量的无源设备可以利用超宽带信号进行自定位,即估计其相对位置和方向,而无需复杂的时钟和天线校准,这大大简化了此类蜂群的设计和制造。我们提出的解决方案已通过实验验证,并于2022年7月在意大利西西里岛埃特纳火山的空间模拟多机器人表面探测任务中成功验证。
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