LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems
UAV swarms have potential in SAR and environmental monitoring but face limitations in situational awareness, connectivity, and cybersecurity. This paper proposes LAUS, an LLM-centric agentic AI framework integrating perception, memory, reasoning, and action for adaptive swarm behavior. It reviews enabling technologies, analyzes threats like Priority Manipulation Attacks, and identifies open challenges including hallucination-resistant reasoning, onboard LLM deployment under SWaP constraints, and standardized security benchmarks.
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[Submitted on 5 Jul 2026]
Title:LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems
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Abstract:Uncrewed Aerial Vehicle (UAV) swarms have significant potential for applications such as Search and Rescue (SAR) and environmental monitoring, but their real-world deployment is limited by a lack of situational awareness, intermittent connectivity, and significant cybersecurity risks. Agentic Artificial Intelligence (AI) represents a shift from standalone Large Language Model (LLM) toward closed-loop cognitive architectures that integrate perception, memory, reasoning/planning, and action to enable adaptive, goal-directed swarm behavior. Within this framework, Agentic AI provides a unifying structure for autonomous and adaptive swarm operations while expanding the system attack surface compared to conventional AI systems. This paper proposes LLM-Centric Agentic AI for UAV Swarms (LAUS) and reviews key enabling technologies such as onboard and edge computing, 5G/6G connectivity, multimodal intelligence, and cybersecurity mechanisms, and analyzes threats such as Priority Manipulation Attacks (PMA) that can distort decision-making and degrade network performance. Finally, it identifies open research challenges, including hallucination-resistant reasoning, onboard LLM deployment under SWaP constraints, and standardized security benchmarks for perception-reasoning attacks in agentic UAV systems.
Comments: 8 pages, 4 figures, 2 tables
Subjects:
Robotics (cs.RO)
MSC classes: 53-01
ACM classes: C.2
Cite as: arXiv:2607.09756 [cs.RO]
(or arXiv:2607.09756v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2607.09756
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Yousef Emami [view email] [v1] Sun, 5 Jul 2026 13:08:06 UTC (366 KB)
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