AI robotics for individuals, families and schools
Train a model.
Build a robot.
Create your own.
A connected pathway from your first pose model to sensor decisions, vision and voice, and an original creative robot.

Every AI stage builds on 451
One foundation. Growing possibilities.
451 provides the shared machine-learning and robot-control foundation. 452 and 471 extend that learning. In 472, students combine the three stages to design an original robot.
New to coding? 402 can provide block-coding and robot-control preparation before 451. Choose by experience and equipment, rather than age alone. 472 is a creative application course, not a fourth official competition stage.
2026 learning stage
AI foundation
Collect pose examples, train and evaluate a model, then connect predictions to robot-car control. Improve both the model and the code.
Evidence of learning: Model tests, control code and repeated mission trials.
2027 learning stage
AI and sensor decisions
Extend the 451 model and code. Calibrate sensors, set decision priorities and solve more complex missions with safe recovery.
Evidence of learning: Calibration records, decision rules and recovery tests.
2028 learning stage
Vision, voice and autonomy
Build on 451 and 452 with camera, microphone and speaker capabilities. Combine perception and sensor evidence for autonomous responses.
Evidence of learning: Vision and voice tests, response times and mission trials.
Creative application of Stages 1โ3
Your original AI robot
Choose a purpose, design the mechanism and combine what you learned in 451, 452 and 471 to create your own robot.
Evidence of learning: Design brief, prototype, integration tests and project presentation.
A starting point for your setting
Learn at home, with a group or at school.
Individuals and families
Check coding experience, the existing kit and computer compatibility. Start with the 451 foundation and progress when ready.
Ask about a home learning setupExisting MRT owners
Share your kit name and mainboard label. We will confirm what can be reused and which expansion hardware is needed.
Check your existing kitSchools and centres
Plan equipment quantities, course access, teacher preparation and assessment with the MRT team.
Plan a school programmeExpansion hardware, per existing compatible kit
A clear upgrade budget.

2027 sensor expansion
A$200 excluding GST
Touch switch, tilt, reed/magnetic, rotary potentiometer, CDS light, NTC temperature (NTCT), LM35 temperature, IR, ultrasonic and rain/water inputs. Outputs: red, green, blue, yellow and white LEDs, buzzer and servo.

2028 vision and AI expansion
A$250 excluding GST
Vision, trained voice-command recognition, visual and spoken feedback, and wireless links for robot-control projects. Includes a custom frame to fit MRT sets.
| Expansion | One existing kit | 10 existing kits |
|---|---|---|
| 2027 sensor expansion | A$200 | A$2,000 |
| 2028 vision and AI expansion | A$250 | A$2,500 |
| Both expansions | A$450 | A$4,500 |
Separate costs: freight, course access and teacher training are not included in expansion hardware prices. These are upgrades for existing compatible kits, not complete starter-kit prices. Confirm compatibility and final pack contents before ordering. No separate 472 kit price is specified.
Product supply and learning years are different
Both products share the same supply plan.
- Product development testing
- Complete for both the 2027 and 2028 expansion products.
- Current work
- Lesson production and classroom readiness checks are in progress.
- Planned completion and supply
- Before UNSW Robotic Challenge registration in Term 1, 2027, for both expansion products.
The labels โ2027โ and โ2028โ identify the challenge learning sequence. The 2028 learning-stage product is also included in the Term 1, 2027 supply plan. The expansions are presented for planning and enquiry while lessons are being completed.
472 creative robotics
What could your robot do?
Define a purpose, design the mechanism, integrate AI and sensors, then test and explain your solution. These earlier MRT student projects illustrate the kinds of creative outcomes the pathway supports.
Watch student projectRobot Dog for Elderly Care
A student companion concept using sensing and an emergency alert.
Watch student projectAI Smart White Cane
An assistive concept combining text reading and object detection.
Watch student projectSelf-Driving Car with Machine Learning
A camera-based learning project connected to vehicle control.
Watch student projectExplorer Climber Robot
A creative mechanism for movement through difficult environments.
Historic projects use different MRT hardware and, in some cases, additional equipment. They illustrate creative possibilities rather than identical kit contents or completion of the new 472 course.
Explore the student storiesLearn, practise, explain and participate
Prepare for the challenge with support.
Build a tested model, reliable control code and a record of how the solution improved. For 472, present your original design and demonstrate why it works.
Prepare
Equipment setup, teacher or family guidance and a suitable learning starting point.
Practise
Model testing, code review, sensor calibration, mission trials and troubleshooting.
Present
Project explanation, demonstration and guidance on published entry and submission requirements.
MRT will work with individual learners, families and school teams to make competition preparation as straightforward as possible. Students develop and explain their own solutions.
Course activities and learning evidence are separate from official competition judging. Check the current eventโs eligibility, categories, dates, hardware rules and submission requirements. 472 is not presented as an official competition category, and equipment or course purchase does not include event entry.
Check official challenge informationLearning with purpose
Connections teachers can build into lessons.
Projects provide opportunities to develop data analysis, algorithm design, systems thinking, prototyping, collaboration and evaluation. Learners can also examine model bias and responsible handling of image and voice data.
451
Training-data records, unseen model tests and improvements to robot-control code.
452 and 471
Sensor calibration, decision priorities, vision/voice tests and reliable recovery.
472
An original design brief, prototype, integration tests, reflection and final presentation.
Suggested Australian Curriculum and NSW connections
Australian Curriculum: Digital Technologies and Design and Technologies. NSW Technology 7โ8: TE4-DIG-02, TE4-MSC-01, TE4-PPM-01 and TE4-DES-01. NSW Computing Technology 7โ10: CT5-DPM-01, CT5-THI-01, CT5-DAT-02 and CT5-SAF-01.
These are teaching connections, not official certification or a claim of meeting every outcome. Teachers select year-level content and assessment. MRT AI Stages 1โ3 are different from NSW curriculum Stages 4โ5. Block coding alone is not claimed to satisfy the general-purpose/object-oriented programming requirement of CT5-OPL-01.
Start with 451. Build towards your own robot.
Tell us your experience, existing equipment and learning setting. We will help identify the next step.