ME41006 / PERCEPTUAL ROBOTICS

Simulation
Labs.

From motor feedback to visual control.
Develop, run, and evaluate Python programs in a shared simulation workspace.

Open workspace ↗Read the Lab guide →

Campus network required for simulations

01 / MOTOR LAB
Motor Lab simulated arm with encoder and target angle telemetry
Stop on TargetSEED 07

LEARNING LABS

Foundations for
visual control.

Begin with motor control and image processing,
then combine them in Aim Lab.

03

INTEGRATION

Aim Lab↗

Connect perception and motion. Inspect alignment, target selection, and shot placement.

  • Lock On
  • Pick the Target
  • Steady Shot
  • Moving Target
Learning notes →

THE WORKSPACE GUIDE

A visual guide to
the workspace.

A visual reference for running a lesson, reading its result, and keeping your code.

Using the labs →
Motor Lab with simulation and Python code side by side123

CLASS COMPETITION

Sniper

One program. Five stages.

The workspace includes the five scenes, rules, API reference, and a blank Python template.

  1. Warm-up
  2. Cover
  3. Movers
  4. Tilt
  5. Pop-up