Programme / Robotics

Build machines that sense, decide and act—and explain why they behave as they do.

Robotics makes abstract logic physical. Learners connect mechanisms, electronics and control code, then test the complete system rather than celebrating motion alone.

Placement depends on readiness, independence and tool experience rather than age alone.
OPENQUESTION
01 / Question02 / Understand03 / Build04 / Verify
01
BIAA / FIT

Who this learning direction is for

Placement is based on readiness, prior experience and learning goals rather than age alone.

  • 01Learners curious about how physical machines work
  • 02Learners ready to combine building, code and repeated testing
  • 03Prerequisite: No robotics experience is required for an introductory placement
  • 04Prerequisite: Advanced projects require safe tool habits and basic programming fluency
02
BIAA / QUESTIONS

Questions learners investigate

Each unit begins with a question that can be explored through observation, code, construction or evidence.

  • 01How does a robot turn sensor input into useful action?
  • 02Why does a mechanism work reliably in one condition but fail in another?
  • 03How much autonomy is appropriate for the task?
03
BIAA / LEARNING

What learners practise

Technical knowledge is developed alongside planning, documentation, testing and explanation.

  • 01Forces, motion and mechanical transmission
  • 02Sensors, actuators and power boundaries
  • 03Event logic, state and feedback
  • 04Calibration, repeatability and fault finding
  • 05System diagrams and engineering documentation
04
BIAA / OUTCOMES

What learners produce

The expected outcome is a documented learning artefact, not an unverified promise of awards or certification.

  • 01A functioning subsystem or robot matched to a stated task
  • 02Code and diagrams that make the control logic understandable
  • 03A test record showing both successful and unsuccessful cases
05
BIAA / PROCESS

Learning process and assessment

Learners move through a repeatable cycle and receive feedback against visible criteria.

  • 01Observe a task and define success
  • 02Prototype one subsystem
  • 03Integrate sensing, mechanism and control
  • 04Test, diagnose and revise
  • 05Assessment: Technical explanation is accurate
  • 06Assessment: The system is tested against stated criteria
  • 07Assessment: Design changes are linked to evidence
06
BIAA / RESPONSIBILITY

Safety, ethics and the next step

Responsible making is part of the curriculum whenever tools, data, AI or autonomous systems are involved.

  • 01Moving parts, tools and energy sources require supervised operating zones
  • 02Emergency stop and manual override are discussed where relevant
  • 03Learners distinguish a controlled demonstration from deployment in the real world
  • 04Next: Continue into drones, IoT or a robotics challenge
  • 05Next: Use the capstone pathway to integrate a larger system
BIAA / PROGRAMME FRAMEWORK

What learners make visible

01

Who it is for

  • Learners curious about how physical machines work
  • Learners ready to combine building, code and repeated testing
02

Starting point

  • No robotics experience is required for an introductory placement
  • Advanced projects require safe tool habits and basic programming fluency
03

Core questions

  • How does a robot turn sensor input into useful action?
  • Why does a mechanism work reliably in one condition but fail in another?
  • How much autonomy is appropriate for the task?
04

What learners investigate

  • Forces, motion and mechanical transmission
  • Sensors, actuators and power boundaries
  • Event logic, state and feedback
  • Calibration, repeatability and fault finding
  • System diagrams and engineering documentation
05

Project evidence

  • A functioning subsystem or robot matched to a stated task
  • Code and diagrams that make the control logic understandable
  • A test record showing both successful and unsuccessful cases
06

Learning process

  • Observe a task and define success
  • Prototype one subsystem
  • Integrate sensing, mechanism and control
  • Test, diagnose and revise
07

How progress is reviewed

  • Technical explanation is accurate
  • The system is tested against stated criteria
  • Design changes are linked to evidence
08

Safety & ethics

  • Moving parts, tools and energy sources require supervised operating zones
  • Emergency stop and manual override are discussed where relevant
  • Learners distinguish a controlled demonstration from deployment in the real world
09

Where this can lead

  • Continue into drones, IoT or a robotics challenge
  • Use the capstone pathway to integrate a larger system

Questions to ask

Does every learner build the same robot?

No. Shared concepts and safety boundaries can lead to different task-specific mechanisms and control approaches.

Is competition required?

No. Challenges may provide useful constraints, but learning evidence does not depend on winning or entering an external event.

BIAA / NEXT STEP

Compare learning pathways

Placement depends on readiness, independence and tool experience rather than age alone.

Compare learning pathways