champ
ur_openai_gym
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| champ | ur_openai_gym | |
|---|---|---|
| 7 | 1 | |
| 1,416 | 15 | |
| 3.5% | - | |
| 0.0 | 2.5 | |
| 6 months ago | 4 months ago | |
| C++ | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
champ
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Legged Robots in Ignition / Gazebo
Yep, its easy to implement on hardware as well, here is the wiki: https://github.com/chvmp/champ/wiki/Hardware-Integration
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The math behind rest_mode of champ
I open an issue in champ's repository but it seems not really an issue, sorry about that if champ's authors see this post. You guys can read it for obvious my problem.
- Keyboard control 4-legged robot
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Just finished wiring my robot dog but I still need to wire 2 more ultrasonic sensors. Feel free to send some suggestions on how I could hide the wires more.
Awesome that your building from scratch. Have you seen this: https://github.com/chvmp/champ
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Quadruped Made by High School Senior
I’m a senior in high school doing an independent study on robotics. I’m working on a quadruped robot I designed, built, tested in simulation, and programmed (with ROS and tons of libraries) that will soon utilize the ROS navigation stack to be autonomous. I'm using the champ ROS package for gait. (https://github.com/chvmp/champ)
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Quadruped Project / Student Looking for Internship (unpaid is ok!)
Here's a video demo of my ongoing ROS project, a quadruped robot I've created that will soon utilize the navigation stack. I'm using the champ package for generating gait.
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.
What are some alternatives?
towr - A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
my_ROS_mobile_robot - Differential drive mobile robot using ROS.
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
esp32-robot-dog-code - WIP: ESP32 powered robot dog, quadruped robot. This is just code, hardware in the other repositories
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
OpenCat - An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
spot_mini_mini - Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
navigation - ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies