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  4. Harnessing stubborn AUVs for decentralized decision strategies in communication-limited environments
 
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Harnessing stubborn AUVs for decentralized decision strategies in communication-limited environments

Citation Link: https://doi.org/10.15480/882.16656
Publikationstyp
Conference Paper
Date Issued
2025-09-03
Sprache
English
Author(s)
Frenkel, Wiebke  
Autonome Cyber-Physische Systeme E-24  
Renner, Bernd-Christian  
Autonome Cyber-Physische Systeme E-24  
TORE-DOI
10.15480/882.16656
TORE-URI
https://hdl.handle.net/11420/61451
Citation
22nd European Conference on Multi-Agent Systems, EUMAS 2025
Contribution to Conference
22nd European Conference on Multi-Agent Systems, EUMAS 2025  
Publisher
Springer Nature Switzerland AG
Swarms of autonomous underwater vehicles (AUVs) offer apromising solution for complex missions in dynamic environments withlimited communication. Unforeseen events, such as currents, equipmentfailures, or energy shortages, can prevent some AUVs from completingtasks, requiring rapid redistribution among the remaining vehicles.Decentralized coordination under such conditions is challenging, especiallywithout reliable feedback on overall mission progress. This workinvestigates a decentralized decision-making process for task reallocation,grounded in opinion dynamics. A key parameter is an agent’s stubbornness,capturing the tendency to persist with an opinion despite uncertainty.Stubbornness influences when and how the swarm reassigns tasks.Simulations across cooperation strategies and swarm compositions showthat allowing controlled divergence in agent opinions, rather than enforcingrapid consensus, improves mission success and resilience. Diverseviewpoints reduce groupthink, encourage exploration, and support flexibleadaptation to environmental changes. These results highlight thepotential of simple, decentralized heuristics like adaptive stubbornnessfor robust coordination in uncertain underwater environments.
Subjects
AUV Swarm
Opinion Dynamics
Self Organization
Swarm Intelligence
DDC Class
629.892: Robot
623.8: Naval Architecture; Shipbuilding
003.5: Communication and Control
006.3: Artificial Intelligence
Funding Organisations
Hamburg University of Technology  
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
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