Engineering-Geek/RL-UAV
Reinforcement Learning for Unmanned Airial Vehicles
This project helps robotics engineers and researchers design and test control systems for drones in a simulated 3D environment. You provide the control algorithms and environmental parameters, and it outputs realistic flight simulations showing how your drone behaves. It's ideal for anyone developing or refining drone guidance and navigation strategies without needing physical hardware.
No commits in the last 6 months.
Use this if you need to rapidly prototype and evaluate drone control algorithms in a physics-accurate simulation before deploying to real hardware.
Not ideal if you're looking for an out-of-the-box drone flight controller or a visual drone piloting application.
Stars
14
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2024
Commits (30d)
0
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