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Quadrupedal Robotics

Team Members

Parsa Ghasemi, Alexander Assal, Gregorio Marin

Introduction and Roadmap

Similar Projects: MIT Cheetah Stanford Doggo Boston Dynamics Spot

All members are required to install Ubuntu Jammy to ensure that everyone is working on the same operating system, thereby minimizing potential compatibility issues.  MuJoCo: Physics Simulation We will examine the predefined Go1 XML file from the MuJoCo documentation and incorporate its structural framework into our current model. https://mujoco.readthedocs.io/en/stable/models.html#quadrupeds

Gymnasium: Machine Learning Platform

We will study the UC Berkeley lectures on deep reinforcement learning to gain a comprehensive understanding of how the model operates and how it can be applied to the quadruped robot.  Blender and 3D Design  

Git and GitHub

All team members will sign up for GitHub and be added as collaborators on the Quadruped Robot repository. Additionally, everyone will learn the necessary commands to effectively use GitHub on their computers. https://github.com/Paarseus/Quadruped-Robot

Recourses: Books, Courses, Websites etc.

CS285 - Deep Reinforcement Learning Lecture Videos Slides and Assignments

MuJoCo Official Documentation: Website Mujoco Bootcamp on Github: https://pab47.github.io/mujoco2022.html Website

Gymnasium Official Documentation: Website

Blender LinkedIn Learning

Gymnasium Example Andreas Github https://github.com/Kallinteris-Andreas/Go1-Environment-Creation-test/tree/main/results/go1/SAC_hzr_0.195_0.75_w_action_noise/run_0

spinningup.openai.com

https://www.davidsilver.uk/teaching/

https://youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ&si=9-ozpKGllkHDwWVj

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