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Abstract

This study explores the potential of using ChatGPT-4, a Large Language Model (LLM) from OpenAI, for creating flight trajectories for drones. The primary focus is on the DJI Tello drone, which is controlled through Python code to execute various flying commands. Unlike traditional approaches that involve direct programming in Python, this research utilizes ChatGPT-4 to automatically generate Python computer programs capable of instructing the drone. Results indicate ChatGPT-4's intriguing capability to produce the necessary code for flying the drone according to given commands. This suggests that LLMs like ChatGPT-4 can be employed to determine drone flight trajectories using human language, facilitating ease of use compared to traditional computer programming languages.

Keywords

LLM ChatGPT Drone DJI Tello UAV AI-assisted Control prompt engineering Python

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