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

• URL: http://arxiv.org/abs/2410.14989v1
• Date: Sat, 19 Oct 2024 05:41:11 GMT
• Title: AutoFPDesigner: Automated Flight Procedure Design Based on Multi-Agent Large Language Model
• Authors: Longtao Zhu, Hongyu Yang, Ge Song, Xin Ma, Yanxin Zhang, Yulong Ji,
• Abstract summary: This paper proposes an agent-driven flight procedure design method based on large language model, named Au-toFPDesigner. The method enables end-to-end automated design of performance-based navigation (PBN) procedures.
• Score: 12.463387707749982
• License:
• 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;

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