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

Hands typing at a lab workstation with the Go2 standing beside the desk A monitor showing a wireframe simulation of a quadruped robot beside the real Go2 The Go2 walking down a computer lab aisle mid-stride The Go2 at the end of a taped route on the lab floor beside a hand holding a tablet

Every module ends with a hands-on task, tested in simulation first, then on the robot.

Course structure

Five modules, 36+ class hours.

A hand resting on a Unitree Go2 standing on a lab desk beside a laptop

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.

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