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Physical AI & Humanoid Robotics
From Sim-to-Real: The Definitive Guide to Embodied Intelligence
🤖 Embodied AI
Master the Embodiment Hypothesis. Understand why intelligence needs a body to truly emerge and interact with the physical world.
🧠 VLA Models
Deploy state-of-the-art Vision-Language-Action models like RT-2 and OpenVLA to give your robots common sense.
⚡ Real-Time Control
Bridge the Sim-to-Real gap with Whole-Body Control, MPC, and reliable ROS 2 middleware architecture.
🌌 Course Overview
This interactive textbook covers the journey from basic embodiment concepts to deploying intelligence on humanoid hardware.
📚 Curriculum
- Foundations: ROS 2, URDF, and Simulation.
- Perception: Sensor fusion and Computer Vision.
- Control: Whole-Body Control (WBC) and Model Predictive Control (MPC).
- Learning: Reinforcement Learning and Imitation Learning.
- VLA: Vision-Language-Action models.
Galactic Feature 🚀
RAG Assistant Active: Click the 💬 icon in the bottom right to ask questions about the course material or debug your ROS 2 nodes!