AirSim-NeurIPS2019-Drone-Racing VS gym-pybullet-drones

Compare AirSim-NeurIPS2019-Drone-Racing vs gym-pybullet-drones and see what are their differences.

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AirSim-NeurIPS2019-Drone-Racing gym-pybullet-drones
1 4
338 1,089
0.0% 2.8%
0.0 8.4
over 1 year ago 10 days ago
Python Python
MIT License 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.
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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.

gym-pybullet-drones

Posts with mentions or reviews of gym-pybullet-drones. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-26.

What are some alternatives?

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

flightmare - An Open Flexible Quadrotor Simulator

robot-gym - RL applied to robotics.

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

pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

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

rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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.

Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

GRID-playground - Platform for General Robot Intelligence Development

on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).

robotics-toolbox-python - Robotics Toolbox for Python

isaac_ros_apriltag - Hardware-accelerated Apriltag detection and pose estimation.