Session by session
- Session 36 · Ask & understandWeek 18
Define a fair comparison question
Evidence: a question, sketch or new vocabulary
- Session 37 · Build & designWeek 19
Run both decision methods in simulation
Evidence: a design draft, dataset or build
- Session 38 · ImplementWeek 19
Apply reviewed bounded serial outputs on a raised rig
Evidence: a working version, explained once
- Session 39 · Test & improveWeek 20
Measure error and response delay
Evidence: a test log with at least one failure
- Session 40 · Explain & reflectWeek 20
Decide whether ML adds value
Evidence: an individual explanation
- LFR kit
- laptop model
- safe bridge or simulator
Same held-out route states and same safety limits for both methods.
A laptop model sends named commands only after bench tests, with a simulator as fallback.
Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.
Projects in the same block
- RoboticsG11-P05
Motor Characterisation Rig
A motor-characterisation dataset with experimental limits.
Sessions 21-25Builder and up - RoboticsG11-P06
Proportional Line Controller
A proportional-control demonstrator, not an industrial PID system.
Sessions 26-30Builder and up - AIG11-P07
Reproducible Model Pipeline
A reproducible evaluation pipeline with honest test separation.
Sessions 31-35Builder and up - IntegratedG11-P08
ML-versus-Rule Robot Study
An evidence-based comparison, including a valid result that rules perform better.
Sessions 36-40Builder and up
For school leadersChoose a starting point.
Build from evidence.
Pick the classes and a plan. We map the timetable, kit and safety checks with you, then pilot one class first.
- Prospectus and class-wise plan
- Kit and readiness check
- Pilot one class first
- Evidence at every milestone
Let's plan your pilot.
Share a few details and we will send the right plan for your classes.