spot_mini_mini
ur_openai_gym
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| spot_mini_mini | ur_openai_gym | |
|---|---|---|
| 2 | 1 | |
| 773 | 15 | |
| 2.3% | - | |
| 0.0 | 2.5 | |
| over 1 year ago | 4 months ago | |
| C++ | Python | |
| MIT License | MIT License |
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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
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?
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.
ros-semantic-segmentation-pytorch - Pytorch implementation of Semantic Segmentation in ROS on MIT ADE20K dataset based on semantic-segmentation-pytorch by CSAIL
champ - MIT Cheetah I Implementation
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)
ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
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.
pyneat - NEAT: NeuroEvolution of Augmenting Topologies