Publikation: A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and only little theoretical foundations exist. Predicting a system of many components with a huge amount of interactions is beyond human skills. The currently common use of simulations for design support is not satisfying, as it is time-consuming and the results are most likely suboptimal. In this work, we present the derivation of an analytical, time-, and space-continuous model for a swarm of autonomous robots based on the Fokker-Planck equation. While the motion model is in most parts physically motivated, the communication model is based on a heuristic approach. A showcase application to a recently proposed scenario of collective perception in a huge swarm of robots with very limited abilities is given and the simulation results are compared to the model. Despite the high level of abstraction, the prediction discrepancies are small and the parameters can be mapped one-to-one from the model to the control algorithm. Finally, we give an outlook on the capabilities of the proposed model, discuss its limitations, and suggest an improvement that could reduce the number of empirically determined parameters.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
HAMANN, Heiko, Heinz WORN, 2007. A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support. SASO 2007 : First International Conference on Self-Adaptive and Self-Organizing Systems. Cambridge, MA, USA, 9. Juli 2007 - 11. Juli 2007. In: SERUGENDO, Giovanna Di Marzo, ed., Jean-Philippe MARTIN-FLATIN, ed., Márk JELASITY, ed. and others. First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007) : July 9 2007 to July 11 2007 Cambridge, MA. Piscataway, NJ: IEEE, 2007, pp. 23. ISBN 978-0-7695-2906-6. Available under: doi: 10.1109/SASO.2007.3BibTex
@inproceedings{Hamann2007Space-59874, year={2007}, doi={10.1109/SASO.2007.3}, title={A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support}, isbn={978-0-7695-2906-6}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007) : July 9 2007 to July 11 2007 Cambridge, MA}, editor={Serugendo, Giovanna Di Marzo and Martin-Flatin, Jean-Philippe and Jelasity, Márk}, author={Hamann, Heiko and Worn, Heinz} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/59874"> <dc:language>eng</dc:language> <dc:creator>Hamann, Heiko</dc:creator> <dc:contributor>Hamann, Heiko</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:title>A Space- and Time-Continuous Model of Self-Organizing Robot Swarms for Design Support</dcterms:title> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:rights>terms-of-use</dc:rights> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T14:03:30Z</dcterms:available> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59874"/> <dc:creator>Worn, Heinz</dc:creator> <dc:contributor>Worn, Heinz</dc:contributor> <dcterms:issued>2007</dcterms:issued> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T14:03:30Z</dc:date> <dcterms:abstract xml:lang="eng">Designing and implementing artificial self-organizing systems is a challenging task since they typically behave nonintuitive and only little theoretical foundations exist. Predicting a system of many components with a huge amount of interactions is beyond human skills. The currently common use of simulations for design support is not satisfying, as it is time-consuming and the results are most likely suboptimal. In this work, we present the derivation of an analytical, time-, and space-continuous model for a swarm of autonomous robots based on the Fokker-Planck equation. While the motion model is in most parts physically motivated, the communication model is based on a heuristic approach. A showcase application to a recently proposed scenario of collective perception in a huge swarm of robots with very limited abilities is given and the simulation results are compared to the model. Despite the high level of abstraction, the prediction discrepancies are small and the parameters can be mapped one-to-one from the model to the control algorithm. Finally, we give an outlook on the capabilities of the proposed model, discuss its limitations, and suggest an improvement that could reduce the number of empirically determined parameters.</dcterms:abstract> </rdf:Description> </rdf:RDF>