paperJuly 2026Unreviewed

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

Yousef Emami, Rahim Taheri, Mohammadhossein Homaei, Muhammad Atif Ur Rehman, Mohammad Shojafar

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 ena

Cite

@misc{emami2026llmcentric,
  title = {{LLM-Centric Agentic AI for UAV Swarms: Architecture, Enabling Technologies, and Open Problems}},
  author = {Yousef Emami and Rahim Taheri and Mohammadhossein Homaei and Muhammad Atif Ur Rehman and Mohammad Shojafar},
  year = {2026},
  month = jul,
  eprint = {2607.09756},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.09756}
}