ifrunistuttgart/RL_Integrated-Updraft-Exploitation
This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.
This project helps develop autonomous soaring aircraft that can find and use rising thermal air currents. It takes in flight dynamics and wind field data and outputs optimized flight control strategies for updraft exploitation. This would primarily be used by aerospace guidance and control engineers, or researchers working on uncrewed aerial vehicles (UAVs) and autonomous flight systems.
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Use this if you are designing or researching autonomous gliders and need to integrate thermal updraft localization and exploitation into their control systems.
Not ideal if you are looking for a commercial off-the-shelf solution or a general-purpose reinforcement learning framework unrelated to flight control.
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Language
Python
License
MIT
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Last pushed
Sep 15, 2023
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