awesome-mecheng VS AirSim-NeurIPS2019-Drone-Racing

Compare awesome-mecheng vs AirSim-NeurIPS2019-Drone-Racing and see what are their differences.

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awesome-mecheng AirSim-NeurIPS2019-Drone-Racing
3 1
966 338
- 0.0%
0.0 0.0
4 months ago over 1 year ago
Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-mecheng

Posts with mentions or reviews of awesome-mecheng. We have used some of these posts to build our list of alternatives and similar projects.

AirSim-NeurIPS2019-Drone-Racing

Posts with mentions or reviews of AirSim-NeurIPS2019-Drone-Racing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-26.
  • Drone Racing RL Environments
    5 projects | /r/reinforcementlearning | 26 Dec 2022
    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.

What are some alternatives?

When comparing awesome-mecheng and AirSim-NeurIPS2019-Drone-Racing you can also consider the following projects:

ANSYS-APDL-Welding-Script - A simple script for welding in ANSYS APDL with Goldak heat source

flightmare - An Open Flexible Quadrotor Simulator

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

AirSim-Drone-Racing-Lab - A framework for drone racing research, built on Microsoft AirSim.

procthor - 🏘️ Scaling Embodied AI by Procedurally Generating Interactive 3D Houses

Robotics-Object-Pose-Estimation - A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

GRID-playground - Platform for General Robot Intelligence Development

robotics-toolbox-python - Robotics Toolbox for Python

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