A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model

TL;DR

This paper introduces a prompt-driven task planning approach for multi-drones utilizing large language models to improve remote operation complexity and human-machine interaction.

Contribution

It presents a novel prompt-based method leveraging large language models to enhance multi-drone task planning and human interaction capabilities.

Findings

Improved task planning efficiency for multi-drones

Enhanced human-machine interaction in drone operations

Effective use of prompts for multi-drone coordination

Abstract

With the rapid development of drone technology, the application of multi-drones is becoming increasingly widespread in various fields. However, the task planning technology for multi-drones still faces challenges such as the complexity of remote operation and the convenience of human-machine interaction. To address these issues, this paper proposes a prompt-driven task planning method for multi-drones based on large language models. By introducing the Prompt technique, appropriate prompt information is provided for the multi-drone system.