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humanoid gym · roboterax

Reinforcement-learning framework for humanoid control and sim-to-real research.

aiartificial-intelligencecontrol-systemshumanoid-robotlocomotion
Publisher repository ↗
humanoid gym · roboterax resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Reinforcement-learning framework for humanoid control and sim-to-real research.

Publisher summary: “Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695”

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
roboterax
Primary language
Python
Repository code license
Not specified
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
2025-01-26

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

Documentation sections

  • <a href="https://sites.google.com/view/humanoid-gym/">Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer</a>
  • Features
  • 1. Humanoid Robot Training
  • 2. Sim2Sim Support
  • 3. Denoising World Model Learning
  • Perceptive Locomotion Learning for Humanoid Robots (Coming Soon!)

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