LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy
Unmanned aerial vehicle (UAV) dispatch is beginning to move beyond isolated path planning and optimization-driven resource allocation toward system-level coordination supported by semantic reasoning and LLM-based interfaces.
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Key points
- We organize the literature into four representative dispatch paradigms: pipeline dispatch, global assignment dispatch, decentralized agentic dispatch, and divide-and-conquer dispatch.
- We further examine how LLMs support semantic parsing, retrieval-grounded planning, solver orchestration, local agent reasoning, multi-agent coordination, safety assessment, and human-facing explanation.
- We discuss the implications of these paradigms for scalability, robustness, coordination burden, and verification requirements, and identify open challenges including latency-aware reasoning, grounding reliability, physical feasibility guarantees, edge deployment, privacy protection, and distributed consistency.
- This survey provides a system-level taxonomy and design perspective for integrating LLMs into safety-critical UAV dispatch systems.
Sources (1)
- [1]LLM-Enabled UAV Dispatch: A System-Level Survey and TaxonomyarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 05:22 AM
Unmanned aerial vehicle (UAV) dispatch is beginning to move beyond isolated path planning and optimization-driven resource allocation toward system-level coordination supported by semantic reasoning and LLM-based interfaces.
We organize the literature into four representative dispatch paradigms: pipeline dispatch, global assignment dispatch, decentralized agentic dispatch, and divide-and-conquer dispatch.
Extractive summary: sentences quoted from the sources.