ur_openai_gym
spot_mini_mini
| ur_openai_gym | spot_mini_mini | |
|---|---|---|
| 1 | 2 | |
| 15 | 773 | |
| - | 0.0% | |
| 2.5 | 0.0 | |
| 4 months ago | over 1 year ago | |
| Python | C++ | |
| MIT License | MIT 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.
spot_mini_mini
- Help with Walking Code Inverse Kinematics
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Raspberry Pi
I am currently making a robot dog based on spot mini mini (going to use a rPI 4): https://github.com/OpenQuadruped/spot_mini_mini
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
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.
ur3 - ROS-based UR3/UR3e controller with simulation in Gazebo. Adaptable to other UR robots
champ - MIT Cheetah I Implementation
rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
esp32-robot-dog-code - WIP: ESP32 powered robot dog, quadruped robot. This is just code, hardware in the other repositories
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
WearableIntelligenceSystem - Wearable computing software framework for intelligence augmentation research and applications. Easily build smart glasses apps, relying on built in voice command, speech recognition, computer vision, UI, sensors, smart phone connection, NLP, facial recognition, database, cloud connection, and more. This repo is in beta.