用大模型让飞机航线设计自动完成，安全达标且适应性强。
AutoFPDesigner: Automated Flight Procedure Design Based on Multi-Agent Large Language Model
- 多智能体协作，自然语言输入需求即可生成航线
- 近100%安全性，75%任务完成率，适配多种设计场景
- 适合航空规划、自动化系统研究者参考
当前飞行程序设计高度依赖人工，自动化程度低，算法建模复杂且泛化能力差。本文提出基于大语言模型的代理驱动设计方法AutoFPDesigner，通过多智能体协作实现性能基础导航（PBN）程序的端到端自动化设计。用户以自然语言输入设计需求，系统加载规范并调用工具库完成设计，支持全程可视化参与。实验表明，所设计飞行程序近100%满足安全性要求，任务完成率达75%，在不同设计任务间具有良好适应性。该方法为飞行程序设计提供新范式，是迈向全自动化的重要一步。
原文摘要 · Abstract (English)
Current flight procedure design methods heavily rely on human-led design process, which is not only low auto-mation but also suffer from complex algorithm modelling and poor generalization. To address these challenges, this paper proposes an agent-driven flight procedure design method based on large language model, named Au-toFPDesigner, which utilizes multi-agent collaboration to complete procedure design. The method enables end-to-end automated design of performance-based navigation (PBN) procedures. In this process, the user input the design requirements in natural language, AutoFPDesigner models the flight procedure design by loading the design speci-fications and utilizing tool libraries complete the design. AutoFPDesigner allows users to oversee and seamlessly participate in the design process. Experimental results show that AutoFPDesigner ensures nearly 100% safety in the designed flight procedures and achieves 75% task completion rate, with good adaptability across different design tasks. AutoFPDesigner introduces a new paradigm for flight procedure design and represents a key step towards the automation of this process. Keywords: Flight Procedure Design; Large Language Model; Performance-Based Navigation (PBN); Multi Agent;
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