Drone Racing RL Environments

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

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  • AirSim-Drone-Racing-Lab

    A framework for drone racing research, built on Microsoft AirSim.

  • Airsim Drone Racing (https://github.com/microsoft/AirSim-Drone-Racing-Lab)

  • flightmare

    An Open Flexible Quadrotor Simulator

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • gym-pybullet-drones

    PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

  • Gym-pybullet-drones (https://github.com/utiasDSL/gym-pybullet-drones)

  • AirSim-NeurIPS2019-Drone-Racing

    Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

  • Airsim drone racing was used in a Neurips 2019 challenge, but there are some issues with the opengl/Vulkan drivers on modern GPUs. Flightmare was used in this paper, but apprently it uses simplified physics.

  • Colosseum

    Open source simulator for autonomous robotics built on Unreal Engine with support for Unity

  • My company, Codex Labs, has taken over the AirSim project, which we rebranded as Colosseum just to avoid confusion. We are continuing this project on here: https://github.com/CodexLabsLLC/Colosseum.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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