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

Fuente: arXiv
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Main Author: Liu, Yaohua
Format: Preprint
Published: 2024
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_version_ 1866917681673797632
author Liu, Yaohua
author_facet Liu, Yaohua
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_00006
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
Liu, Yaohua
Robotics
Artificial Intelligence
Computation and Language
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.
title A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
topic Robotics
Artificial Intelligence
Computation and Language
url https://arxiv.org/abs/2406.00006