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quadrupeds locomotion · Argo-Robot

A guide and workflows for quadruped locomotion with reinforcement learning.

quadruped-robotreinforcement-learningroboticssimulation
Publisher repository ↗
quadrupeds locomotion · Argo-Robot resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

A guide and workflows for quadruped locomotion with reinforcement learning.

Publisher summary: “Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to designing rewards and transitioning from simulation…”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
Argo-Robot
Primary language
Python
Repository code license
AGPL-3.0
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2025-02-26

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Making Quadrupeds Learning to Walk: From Zero to Hero
  • 1. Problem Overview
  • 2. Ingredients and RL Framework
  • 3. Learning to Walk
  • 3.1 Actions
  • 3.2 Observations

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