conference paper · Procedia Computer Science
Unmanned Aerial Vehicles (UAVs) have emerged as a technology with applications in both military and civilian fields. In the same vein, Large Language Models (LLMs) have emerged in various domains recently and have demonstrated remarkable capabilities, particularly in natural language processing. Several authors have focused on the integration of LLMs into UAVs, in order to increase their capabilities, adaptation, interconnection, and interaction with humans. This paper is a concise survey of the work done in this direction over the period of 2021 - 2024. We selected and analyzed papers according to the Systematic Mapping Study leading to the identification of the subtopics covered, the tools used, the contributions of the authors, and the limitations. A multi-criteria taxonomy is also proposed, with discussions on trends for future research.
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DOI: 10.1016/j.procs.2025.07.195
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