MUTP-LLM: Empowering Multi-UAV Task Planning with Large Language Models

Key Points

Improved task planning efficiency is achieved using large language models for multi-UAV systems.
The approach resulted in significant advancements in guidance and navigation tasks.
This analysis develops a model for effective UAV task coordination and planning.
Findings suggest optimization of multi-UAV operations may lead to enhanced mission success rates.

Abstract

Guidance, Navigation and ControlAccepted Papers Open AccessMUTP-LLM: Empowering Multi-UAV Task Planning with Large Language ModelsHongbo Yu, Chang Wang, Yifeng Niu, and Lizhen WuHongbo Yu, Chang Wang Search for more papers by this author , Yifeng Niuhttps://orcid.org/0009-0007-3874-6333 Search for more papers by this author , and Lizhen Wu Search for more papers by this author https://doi.org/10.1142/S2737480725500347Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 19 May 2025 Accepted 26 July 2025 PDF download

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MUTP-LLM: Empowering Multi-UAV Task Planning with Large Language Models

Key Points

Abstract

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