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Aerial Gymntnu-arl.github.ioThe Aerial Gym Simulator is a high-fidelity physics-based simulator for training micro aerial vehicles (MAVs) like multirotors to fly and navigate cluttered environments using learning-based methods. It leverages NVIDIA Isaac Gym, supports GPU-parallelized geometric controllers for thousands of vehicles, and includes customizable sensors such as LiDAR and cameras for depth and segmentation.
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