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

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

Siwei Zhang, Pedro Fernandez Ruz, Fabio Broghammer, Emanuel Staudinger, Christian Gentner, Robert Pöhlmann, Armin Dammann, Manuel Schütt, Roy Lichtenheldt

Year
2023
Citations
4

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.

Keywords

Swarm behaviourNode (physics)Computer scienceRobotNetwork topologyReal-time computingTopology (electrical circuits)Artificial intelligenceEngineeringComputer network

Related papers

Browse all SWARM papers