ur_openai_gym
Universal_Robots_ROS2_Description
ur_openai_gym | Universal_Robots_ROS2_Description | |
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1 | 1 | |
15 | 95 | |
- | - | |
2.5 | 7.8 | |
4 months ago | 9 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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ur_openai_gym
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
I've been able to work with tensorflow 2 and Ros melodic here https://github.com/cambel/ur_openai_gym I use dockers because it makes it easy to use. Compiling your custom packages with python3 and the rest mostly works fine. I had troubles with tf but I found a work around it. Though working with docket and Ros noetic would be a better idea.
Universal_Robots_ROS2_Description
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Create VR-Controlled Roboter in Unity
So far I have cloned the Universal_Robots_ROS2_Description and Robotiq_2f_140 (Supported for ROS2) in my workspace. Since I want to implement my Robot in Unity I am following the Unity Integration tutorial and the moveit tutorial.
What are some alternatives?
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
Unity-Robotics-Hub - Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
Universal_Robots_ROS2_Driver - Universal Robots ROS2 driver supporting CB3 and e-Series
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
robotiq - Robotiq packages (http://wiki.ros.org/robotiq)
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
OmniIsaacGymEnvs-UR10Reacher - UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
champ - MIT Cheetah I Implementation
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies