LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems

• URL: http://arxiv.org/abs/2607.09756v1
• Date: Sun, 05 Jul 2026 13:08:06 GMT
• Title: LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems
• Abstract summary: Uncrewed Aerial Vehicle (UAV) swarms have significant potential for applications such as Search and Rescue (SAR) and environmental monitoring.<n>Agentic Artificial Intelligence (AI) represents a shift from standalone Large Language Model (LLM) toward closed-loop cognitive architectures.<n>This paper proposes LLM-Centric Agentic AI for UAV Swarms (LAUS) and reviews key enabling technologies.
• Score: 4.4579151410787246
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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