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论文arXiv 2610.0946621 天前

LLM赋能的UAV调度:系统级综述与分类法 ​

原文链接:LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy(arXiv 2610.09466 · 发布日期:2026-10-07)

LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy

该综述面向LLM赋能的UAV调度,通过统一表征和四类范式梳理文献,连接语义意图、符号决策与物理执行。

核心要点 ​

  • UAV调度正从孤立路径规划和资源优化,走向语义推理支持的系统级协调。
  • 论文将LLM概念化为跨层语义编排层,连接人类指令、外部求解器和分布式控制模块。
  • 文献被归纳为流水线、全局分配、去中心化agentic、分治四类调度范式。
  • 还讨论可扩展性、鲁棒性、协调负担、验证需求及延迟、grounding、边缘部署等挑战。

英文摘要 (Abstract) ​

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. This survey provides a unified characterization of LLM-enabled UAV dispatch systems that bridges semantic intent, symbolic decision-making, and physical UAV execution. Rather than treating LLMs as standalone add-ons, we conceptualize them as a cross-layer semantic orchestration layer connecting human instructions, external solvers, and distributed control modules. We organize the literature into four representative dispatch paradigms: pipeline dispatch, global assignment dispatch, decentralized agentic dispatch, and divide-and-conquer dispatch. For each paradigm, we analyze its decision logic, system structure, control flow, representative methods, and potential LLM roles. 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.

作者:Xiao Han, Aoyang Quan, Xiangyu Zhao, Xiangjie Kong, Guojiang Shen

来源

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  1. arXiv 2610.09466:LLM-Enabled UAV Dispatch: A System-Level Survey and Taxonomy访问 2026-10-21