The gateway into physical AI
From code to a robot that
walks, maps and sees.
5
Modules
36+
Class hours
1
Real robot, every module
One loop, every module.
Learn
Simulate
Run on robot
Assess
Every module ends with a hands-on task, tested in simulation first, then on the robot.
Course structure
Five modules, 36+ class hours.
01 · 6 hrs
Meet your robot
Operate the Go2 safely and learn how it senses the world.
Want the session-by-session detail? Request the full syllabus.
Outcomes
Understand.
LiDAR, SLAM and how physical AI turns sensor data into movement.
Build.
Autonomous navigation: path planning and obstacle avoidance, running on a real Go2.
Prove.
AI vision and voice: object detection and spoken commands, tested in simulation and shown working on hardware.
Questions, answered.
Do students need to know how to code?
No. We start from zero, block-based tools first, with a taste of Python later for those who want it.
How does a school run this programme?
We scope it with you: cohort size, age range and timetable. The robot kit, simulation platform and teaching tools are included, in English or Chinese.
Is the robot safe to handle?
Yes. Quadrupeds are compact, stable and built for handling, and every session is instructor-supervised.
What do students actually do in a session?
They work directly with the Unitree Go2: drive it, program behaviours, run perception demos, and build toward a small final project.
Do students get a certificate?
Certificate details are being finalised and will be announced with the first cohort.
Get the full syllabus.
Every module, session by session. A real person replies within one business day.