Teaching Resources

The Robotics and Machine Intelligence Laboratory

Tutorials


Please click the links below to access each of the demos.


Introduction to Simulation

Learning simulation and control theory in Python.

Multi-Agent Simulation Analysis Platform

Exploring mobility, entropy, and fluidity in multi-agent systems.

Mass-Spring-Damper System

Learning Mass-Spring-Damper and control theory with LEGO.

ME31002:Mass-Spring-Damper System

Learning Mass-Spring-Damper and control theory with LEGO.

Gentle Introduction to OpenCV

Learning OpenCV for image processing in Python.

Introduction to 3D point clouds processing

Learning Open3D for basic point clouds processing methods in Python.

Is Everything under Control?

Practice physics and control theory in gaming.
Simulation Labs: motor control, image processing, and visual aiming

Perceptual Robotics · Simulation Labs

Browser-based labs for motor control, image processing, visual aiming, and Sniper competition practice.

Digital Robotics Laboratory

Learning system stability through online interactive simulations.