cartpole-physics VS Unity-Robotics-Hub

Compare cartpole-physics vs Unity-Robotics-Hub and see what are their differences.

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cartpole-physics Unity-Robotics-Hub
1 12
5 1,889
- 2.2%
2.1 0.0
12 months ago about 1 month ago
C# C#
- 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.

cartpole-physics

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

Unity-Robotics-Hub

Posts with mentions or reviews of Unity-Robotics-Hub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-01.

What are some alternatives?

When comparing cartpole-physics and Unity-Robotics-Hub you can also consider the following projects:

gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim

ros-sharp - ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

ROS-TCP-Connector

URDF-Importer - URDF importer

ZeroSimROSUnity - Robotic simulation in Unity with ROS integration.

moveit - :robot: The MoveIt motion planning framework

robotics-toolbox-python - Robotics Toolbox for Python

MuJoCo_RL_UR5 - A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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.

AI4Animation - Bringing Characters to Life with Computer Brains in Unity

ActiveRagdoll - From-scratch implementation of physically simulated character animation with proportional-integral-derivative controllers (PID)