Siwei Zhang, Pedro Fernandez Ruz, Fabio Broghammer, E. Staudinger, C. Gentner, R. Pöhlmann, A. Dammann, Manuel Schütt, R. Lichtenheldt
{"title":"Self-Organized UWB Localization for Robotic Swarm – First Results from an Analogue Mission on Volcano Etna","authors":"Siwei Zhang, Pedro Fernandez Ruz, Fabio Broghammer, E. Staudinger, C. Gentner, R. Pöhlmann, A. Dammann, Manuel Schütt, R. Lichtenheldt","doi":"10.1109/AERO55745.2023.10115558","DOIUrl":null,"url":null,"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.","PeriodicalId":344285,"journal":{"name":"2023 IEEE Aerospace Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Aerospace Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO55745.2023.10115558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.