Session by session
- Session 56 · Ask & understandWeek 28
Choose accepted labels and confidence rule
Evidence: a question, sketch or new vocabulary
- Session 57 · Build & designWeek 29
Implement unknown/stale states in a simulator
Evidence: a design draft, dataset or build
- Session 58 · ImplementWeek 29
Connect only whitelisted output names
Evidence: a working version, explained once
- Session 59 · Test & improveWeek 30
Test wrong labels and delayed messages
Evidence: a test log with at least one failure
- Session 60 · Explain & reflectWeek 30
Explain why a safety interlock is separate from AI
Evidence: an individual explanation
- Computer
- classifier log
- UNO LEDs or raised rover
Fifteen messages including five invalid or stale cases.
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
- RoboticsG08-P09
Motion-Light Rover Dock
A sensor-controlled model docking light.
Sessions 41-45Innovation only - RoboticsG08-P10
Speed Calibration Rig
A measured rover speed calibration, not a precision speed controller.
Sessions 46-50Innovation only - AIG08-P11
AI Workflow Recipe
A reusable report-generation recipe with validation tests.
Sessions 51-55Innovation only - IntegratedG08-P12
Model-Score Safety Gate
An evaluated AI-to-device command gate on a stationary rig.
Sessions 56-60Innovation only
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.