Session by session
- Session 76 · Ask & understandWeek 38
Define a measurable robotics question
Evidence: a question, sketch or new vocabulary
- Session 77 · Build & designWeek 39
Integrate controller, model and audit log
Evidence: a design draft, dataset or build
- Session 78 · ImplementWeek 39
Preserve independent interlocks and human authority
Evidence: a working version, explained once
- Session 79 · Test & improveWeek 40
Run reproducible baseline and failure trials
Evidence: a test log with at least one failure
- Session 80 · Explain & reflectWeek 40
Defend results, limitations and responsible-use choices
Evidence: an individual explanation
- LFR kit
- local Python model
- reviewed bridge or simulator
Three repeat runs plus unknown, stale-data, stop and reset tests.
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-P13
Track Experiment Platform
A reproducible robotics experiment with a baseline and condition comparison.
Sessions 61-65Innovation only - RoboticsG11-P14
Connected-System Simulator
A local connected-system simulator; no claim of built-in UNO Wi-Fi.
Sessions 66-70Innovation only - AIG11-P15
Reusable AI Skill Evaluation
A documented reusable AI workflow; trainer installation only on an eligible approved workspace.
Sessions 71-75Innovation only - IntegratedG11-P16
Responsible Smart-Automation Capstone
A bounded AI-assisted line-following/automation study with reproducible evidence.
Sessions 76-80Innovation 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.