zengxiong111 / Foundation_of_Embodied_AI

# Foundation of Embodied AI
简体中文 | **English**
Chinese and English learning materials for a future Foundation of Embodied AI course, based on our project experience and generated with the assistance of ChatGPT.
**How to read:** Follow tools → calibration/deep learning → physics/perception → reinforcement learning → demonstrations/generative policies → systems integration. Git and ROS 2 are optional tool references. See the course map · PDF .
## Course materials
17 topics, 34 Markdown files and 34 PDFs. Use the links below to read or download. All PDFs use a shared academic layout; the first chapter starts on page 2.
| Topic | Chinese Markdown | English Markdown | Chinese PDF | English PDF |
|---|---|---|---|---|
| Git Basics | MD | MD | PDF | PDF |
| ROS 2 Basics | MD | MD | PDF | PDF |
| Camera Calibration | MD | MD | PDF | PDF |
| Deep Learning Basics | MD | MD | PDF | PDF |
| Vision Foundation Models | MD | MD | PDF | PDF |
| Robot Dynamics | MD | MD | PDF | PDF |
| Isaac / MuJoCo Simulation | MD | MD | PDF | PDF |
| Motion Control RL | MD | MD | PDF | PDF |
| PPO / Actor–Critic | MD | MD | PDF | PDF |
| Q-learning / SAC | MD | MD | PDF | PDF |
| Imitation Learning | MD | MD | PDF | PDF |
| Flow Matching | MD | MD | PDF | PDF |
| GR00T & SONIC | MD | MD | PDF | PDF |
| World Action Models | MD | MD | PDF | PDF |
| Efficient Training & Inference | MD | MD | PDF | PDF |
| Post-training | MD | MD | PDF | PDF |
| Robot Agents | MD | MD | PDF | PDF |
## Usage and feedback
Everyone is welcome to download, modify and submit pull requests! Send feedback to zengx3@sustech.edu.cn.
Original teaching materials use CC BY 4.0. Third-party materials retain their original licenses. When sharing or adapting the materials, provide attribution, a license link and an indication of changes.