The definitive open-source textbook for building autonomous humanoid robots.
Master the full stack, from real-time kernels and ROS 2 to Vision-Language-Action (VLA) foundation models.
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Cortex-H1 is a comprehensive, university-level engineering handbook designed to bridge the gap between digital AI and physical embodiment. While the last decade was defined by Large Language Models mastering the digital world, this project focuses on the next frontier: giving digital brains a physical body.
This is not just a theoretical textbook. It's a hands-on, code-first guide to building the complete software and hardware stack for a new generation of intelligent, autonomous humanoid robots.
This project covers:
- 🤖 Full-Stack Robotics: From low-level motor control with ROS 2 to high-level reasoning with VLA foundation models.
- 🧠 The "AI Brain": Implementing Visual SLAM, Navigation, and sensor fusion to build a real-time understanding of the world.
- 🏗️ Digital Twins: Mastering sim-to-real transfer with industry-standard tools like NVIDIA Isaac Sim and Gazebo.
- 🏃 Advanced Control: Implementing Model Predictive Control (MPC) and Whole-Body Control (WBC) for stable bipedal locomotion.
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This project is built on a modern, open-source stack to provide the best possible learning experience.
- Docusaurus: The core static site generator, providing a robust and extensible framework for documentation.
- React: For building a dynamic and interactive user interface.
- Tailwind CSS: For a utility-first approach to styling, enabling the "VVIP" design.
- Google Gemini: Powering the on-the-fly AI translation features.
- ROS 2: The foundational middleware for the robotics software stack.
To get a local copy up and running, follow these simple steps.
- Node.js (v20.0 or later)
- npm
- Clone the repo
git clone https://github.com/devhasnainraza/Cortex-H1.git
- Navigate to the project directory
cd Cortex-H1 - Install NPM packages
npm install
To start the development server and view the book:
npm startThe site will be available at http://localhost:3000/Cortex-H1/.
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information (Note: You may need to create this file).
Your Name - @Muhammad Hasnain - email@example.com
Project Link: https://github.com/devhasnainraza/Cortex-H1