BashMocha/Prompting-LLMs-for-Aerial-Navigation
Prompts and source code for applying LLMs to UAV-based navigation tasks with various model integrations
This project explores how large language models (LLMs) can be used to control unmanned aerial vehicles (UAVs) for tasks like navigation and obstacle avoidance. You provide natural language instructions as prompts to an LLM, which then generates code to direct a drone in a simulated environment. This is for robotics engineers or researchers who want to experiment with using LLMs to make drone control more intuitive for non-expert users.
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Use this if you are a robotics researcher investigating the potential and limitations of using large language models for aerial navigation and drone control via natural language commands.
Not ideal if you need a production-ready solution for real-world drone operations, as this is an experimental study in a simulated environment.
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Python
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Last pushed
Dec 12, 2024
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