---
id: "/robotics-autonomy-world-models/drones-aerial/"
title: "drones & aerial: 4 curated resources"
url: "https://skillissue.dev/robotics-autonomy-world-models/drones-aerial/"
---

# drones & aerial: 4 curated resources

drones & aerial

[Beginner](/robotics-autonomy-world-models/beginner/index.md) [Intermediate](/robotics-autonomy-world-models/intermediate/index.md) [Advanced](/robotics-autonomy-world-models/advanced/index.md) [Expert](/robotics-autonomy-world-models/expert/index.md)

4 resources · page 1 of 1

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### [PX4-Autopilot](/frontier/research-feeds/drone-autopilot-open-source/index.md)

by [PX4 Autopilot](https://px4.io)

PX4 Autopilot GitHub repo: open-source flight control software for drones and unmanned vehicles.

entity repo US en 

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### [AirSim](/frontier/research-feeds/drone-navigation/index.md)

by [Microsoft](https://opensource.microsoft.com)

Microsoft AirSim GitHub repo: Unreal Engine simulator for drones and autonomous vehicles.

entity repo US en 

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### [PX4 Autopilot](/frontier/research-feeds/px4-autopilot/index.md)

by [PX4 Autopilot (Dronecode Foundation)](https://px4.io/)

PX4 Autopilot site: open-source flight control software for drones, with docs and community links.

entity repo Global en 

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### [Champion-level drone racing using deep reinforcement learning (Swift)](/frontier/research-feeds/kaufmann-et-al-champion-level-drone-racing-swift-nature-2023/index.md)

by [Elia Kaufmann et al. (University of Zurich)](https://www.uzh.ch/)

Nature paper (2023) on Swift, a deep RL drone that beat human champions in drone racing.

Advanced learning_resource paper EU (CH) en 

[Plain-text Markdown copy](/robotics-autonomy-world-models/drones-aerial/index.md)