AutoFPDesigner: Automated Flight Procedure Design Based on Multi-Agent Large Language Model

TL;DR

AutoFPDesigner leverages multi-agent collaboration with large language models to automate and improve the design of flight procedures, ensuring safety and adaptability in performance-based navigation.

Contribution

This paper introduces AutoFPDesigner, a novel agent-driven, end-to-end automated flight procedure design method utilizing large language models and multi-agent systems.

Findings

Ensures nearly 100% safety in designed procedures.

Achieves 75% task completion rate across tasks.

Demonstrates good adaptability to different design requirements.

Abstract

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;