jatolentino/Autonomous-UAV
Based in my last research paper - 2021
This project helps researchers and engineers simulate and test advanced control algorithms for autonomous drones. It takes in predefined flight paths and drone dynamics equations, then outputs a visual simulation of the drone's trajectory, allowing for direct comparison of different control system performances, including those enhanced by machine learning. This is ideal for academics or professionals working on improving UAV navigation and control accuracy.
No commits in the last 6 months.
Use this if you are a control systems engineer or researcher looking to simulate and compare advanced trajectory tracking algorithms for quadcopter UAVs, especially when exploring the benefits of machine learning integration.
Not ideal if you need a plug-and-play solution for controlling a physical drone or if you are not comfortable working within a Matlab/Octave simulation environment.
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MATLAB
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Last pushed
Dec 09, 2023
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