Session by session
- Session 36 · Ask & understandWeek 18
Define a stationary sorting task
Evidence: a question, sketch or new vocabulary
- Session 37 · Build & designWeek 19
Map a model label to a bounded indicator/servo position
Evidence: a design draft, dataset or build
- Session 38 · ImplementWeek 19
Use a trainer-reviewed USB bridge or manual operator
Evidence: a working version, explained once
- Session 39 · Test & improveWeek 20
Test unknowns before any movement
Evidence: a test log with at least one failure
- Session 40 · Explain & reflectWeek 20
Present an event log
Evidence: an individual explanation
- Object model
- UNO
- servo/LED
- external servo supply
Twelve cases; no unrestricted autonomous navigation.
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-P05
Parking Display Rover
A stationary rover display that reports proximity bands.
Sessions 21-25Builder and up - RoboticsG08-P06
Bluetooth-Controlled Car
A trainer-phone-controlled model car with a reliable stop path.
Sessions 26-30Builder and up - AIG08-P07
Python Data Detective
A simple Python evaluator for classifier predictions.
Sessions 31-35Builder and up - IntegratedG08-P08
AI Sorting Rover Station
A stationary AI-guided sorting station using rover hardware, not a roaming sorter.
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.