AirSim-NeurIPS2019-Drone-Racing VS procthor

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

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AirSim-NeurIPS2019-Drone-Racing procthor
1 1
338 216
0.0% 0.0%
0.0 0.0
over 1 year ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.

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.

procthor

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

What are some alternatives?

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

flightmare - An Open Flexible Quadrotor Simulator

pykitti - Python tools for working with KITTI data.

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

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

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

habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]

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.

ai2thor-rearrangement - 🔀 Visual Room Rearrangement

GRID-playground - Platform for General Robot Intelligence Development

theseus - A library for differentiable nonlinear optimization

robotics-toolbox-python - Robotics Toolbox for Python

holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.