An approach for extended swarm formation flight with drones: PROTEASE 2.0

  • Drone formation flights, as performed in the Intel Drone Shows, demonstrate the current state of technology fascinatingly. We revisit this idea using the paradigm of self-organization in the form of swarm behavior. Applying swarm behavior for formation flight promises high scalability, robustness, and flexibility. Swarm behavior allows for impressive patterns where centrally coordinated approaches might reach their limits. In this paper, we propose PROTEASE2.0 as an approach for parametrizable swarm behavior of the next level. Like its predecessor, PROTEASE2.0 enables us to use a single generalized implementation for producing emergent effects by only adjusting parameters for the swarm members. Further, we now facilitate novel formations previously unattainable. New formations include parallel swarms interacting with each other, single swarms using multiple reference points enabling surprising flight patterns, and hierarchical swarm structures extending the possibilities even further.Drone formation flights, as performed in the Intel Drone Shows, demonstrate the current state of technology fascinatingly. We revisit this idea using the paradigm of self-organization in the form of swarm behavior. Applying swarm behavior for formation flight promises high scalability, robustness, and flexibility. Swarm behavior allows for impressive patterns where centrally coordinated approaches might reach their limits. In this paper, we propose PROTEASE2.0 as an approach for parametrizable swarm behavior of the next level. Like its predecessor, PROTEASE2.0 enables us to use a single generalized implementation for producing emergent effects by only adjusting parameters for the swarm members. Further, we now facilitate novel formations previously unattainable. New formations include parallel swarms interacting with each other, single swarms using multiple reference points enabling surprising flight patterns, and hierarchical swarm structures extending the possibilities even further. Our focus in this paper lies in the experimental evaluation of these concepts in simulated environments. In combination with successful pre-evaluations concerning swarm behavior using real drones, we confidently look towards future experiments also applying PROTEASE2.0 in the real world.show moreshow less

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Metadaten
Author:Oliver KosakORCiDGND, Philipp KastenmüllerORCiD, Constantin WanningerORCiD, Wolfgang ReifORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1174750
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117475
ISBN:978-3-031-75106-6OPAC
ISSN:0302-9743OPAC
Parent Title (English):Leveraging applications of formal methods, verification and validation: rigorous engineering of collective adaptive systems: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024, proceedings, part II
Publisher:Springer
Place of publication:Berlin
Editor:Tiziana Margaria, Bernhard Steffen
Type:Conference Proceeding
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2024/12/12
First Page:263
Last Page:280
Series:Lecture Notes in Computer Science ; 15220
DOI:https://doi.org/10.1007/978-3-031-75107-3_16
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Software & Systems Engineering
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Softwaretechnik / Lehrstuhl für Softwaretechnik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht