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dc.contributor.authorLusk, Parker C
dc.contributor.authorCai, Xiaoyi
dc.contributor.authorWadhwania, Samir
dc.contributor.authorParis, Aleix
dc.contributor.authorFathian, Kaveh
dc.contributor.authorHow, Jonathan P
dc.date.accessioned2021-10-27T20:23:30Z
dc.date.available2021-10-27T20:23:30Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135445
dc.description.abstract© 2016 IEEE. Reliance on external localization infrastructure and centralized coordination are main limiting factors for formation flying of vehicles in large numbers and in unprepared environments. While solutions using onboard localization address the dependency on external infrastructure, the associated coordination strategies typically lack collision avoidance and scalability. To address these shortcomings, we present a unified pipeline with onboard localization and a distributed, collision-free formation control strategy that scales to a large number of vehicles. Since distributed collision avoidance strategies are known to result in gridlock, we also present a distributed task assignment solution to deconflict vehicles. We experimentally validate our pipeline in simulation and hardware. The results show that our approach for solving the optimization problem associated with formation control gives solutions within seconds in cases where general purpose solvers fail due to high complexity. In addition, our lightweight assignment strategy leads to successful and quicker formation convergence in 96-100% of all trials, whereas indefinite gridlocks occur without it for 33-50% of trials. By enabling large-scale, deconflicted coordination, this pipeline should help pave the way for anytime, anywhere deployment of aerial swarms.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.isversionof10.1109/LRA.2020.3006823
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcearXiv
dc.titleA Distributed Pipeline for Scalable, Deconflicted Formation Flying
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.relation.journalIEEE Robotics and Automation Letters
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-04-30T13:55:59Z
dspace.orderedauthorsLusk, PC; Cai, X; Wadhwania, S; Paris, A; Fathian, K; How, JP
dspace.date.submission2021-04-30T13:56:01Z
mit.journal.volume5
mit.journal.issue4
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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