Course Overview
This comprehensive textbook covers 13 weeks of Physical AI and Humanoid Robotics curriculum, organized into 4 modules with hands-on exercises and real-world applications.
1
ROS 2 Foundations
Introduction to Physical AI, Humanoid Robotics, and ROS 2 architecture. Learn core concepts, nodes, topics, and communication patterns.
4 Lessons
Physical AIROS 2Pub/SubServices
2
Simulation Environments
Master Gazebo, Unity, and NVIDIA Isaac Sim for robotics simulation. Build and test robots in virtual environments.
3 Lessons
GazeboUnityIsaac SimPhysics
3
Sensors & AI Integration
Integrate LiDAR, cameras, and IMU sensors with Vision-Language-Action models for intelligent robotics.
2 Lessons
LiDARComputer VisionVLA ModelsPerception
4
Advanced Humanoid Robotics
Explore conversational AI, locomotion algorithms, inverse kinematics, and capstone integration projects.
4 Lessons
Conversational AILocomotionIK/DynamicsCapstone
What You'll Learn
Foundational Skills
- ✓ ROS 2 architecture and core concepts
- ✓ Python programming for robotics
- ✓ Simulation environment setup
Applied Techniques
- ✓ Sensor integration and processing
- ✓ Vision-Language-Action pipelines
- ✓ Humanoid locomotion algorithms
Advanced Projects
- ✓ Conversational robot interfaces
- ✓ Inverse kinematics solvers
- ✓ Full-stack robotics integration