harvard-edge/AirLearning
Public repository for Air Learning project
This project helps researchers design, train, and evaluate autonomous aerial robots (drones) using simulated environments. It takes your reinforcement learning algorithms and drone models to produce insights into flight performance and hardware compatibility without needing physical prototypes. Robotics researchers and engineers focused on aerial autonomy would use this.
243 stars. No commits in the last 6 months.
Use this if you need a flexible, photorealistic simulation environment to train reinforcement learning algorithms for drones and assess their performance on various virtual hardware configurations.
Not ideal if you are looking for a platform to control physical drones directly or for a simple flight simulator for recreational use.
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Sep 13, 2021
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