PhAI Academy
An integrated theory and practice learning program to understand the principles of Physical AI and learn hands-on with the ONE PhAI platform.
Step-by-Step Learning Roadmap
Systematic learning paths tailored to everyone from beginners to advanced researchers in Physical AI.
Physical AI Basics
Understand the concepts and components of Physical AI.
Control Systems Theory
Learn the core theories and algorithms of robot control.
PhAI KIT Practice
Hands-on practice using the ONE PhAI KIT.
Advanced Projects
Design and implement real Physical AI projects.
Course Structure
Three types of courses — theory, practice, and integrated — each of which can be taken independently.
Theory Course
Systematically learn the mathematical and engineering foundations of Physical AI.
- Dynamics & Kinematics
- Control Theory
- Machine Learning Basics
Practice Course
Implement real Physical AI systems using PhAI KIT and Studio.
- KIT Hardware Practice
- Studio Data Collection
- Model Training Pipeline
Integrated Course
Combine theory and practice to complete high-quality Physical AI projects.
- End-to-End Projects
- Team Projects
- Presentation & Demo
Learning Method
Build Physical AI capabilities through systematic curriculum and practice-focused learning.
Theory Study
Learn the core concepts of Physical AI through lecture materials and documentation.
KIT Practice
Directly handle PhAI KIT to implement theory in practice.
Project Completion
Complete a real Physical AI project based on what you have learned.