ROBOTICS CATEGORY B
AI Motion Rescue — Team
Work as a team to train a custom AI Pose model and control the Official AI Robot to complete the rescue mission.
Local case studies are welcome: Victoria Pass is the official 2026 reference case. Students may also research a comparable real-world road collapse, landslip, closure or infrastructure disruption from their own state or territory, including Lions Road in the Kyogle region. The case selected does not itself affect eligibility or scoring; the same mission, submission requirements and judging criteria apply.
Sample Project Video 🎥
Watch a Robotics sample and plan how every team member will explain their role and contribution.
Your Mission 🎯
Category B uses exactly the same rescue mission, official kit, custom Pose model, SB3 project, video evidence and judging rubric as Category A. The only category difference is that Category B is entered by a same-school team of 2–5 students instead of one student.
⚠️ The sample model may be used while learning, but it is not an eligible final submission in either Category A or B. Train and submit a custom Pose Classification model.
Mission Field 🗺️
Same field specifications as Category A:
| Item | Specification |
|---|---|
| Field Size | Approx. 120cm × 90cm |
| Start Base | 30cm × 30cm |
| Destination Zone | 25cm × 25cm |
| Rescue Object | Approx. 4.6 × 4.2 × 3.6cm |
| Obstacles | 3–5 simple classroom obstacles |
| Time Limit | 3 minutes |
Team Roles 👥
| Role | Responsibility |
|---|---|
| AI Model Trainer | Train and test the Pose Classification model on Teachable Machine |
| Coding Engineer | Program the robot control logic in MRT AI Studio |
| Robot Engineer | Assemble the robot and design the rescue mechanism |
| Mission Designer / Presenter | Plan the strategy, run tests, and lead the video presentation |
These are optional planning roles, not a separate judging criterion. Category B uses the same rubric as Category A.
Hardware Restrictions 🔧
Same as Category A — Official AI Mission Robot Kit only.
✅ MRTNODE / MRT AI Node Board✅ DC Motors × 2✅ Servo Motor × 1✅ Official parts
Extra motors/sensorsThird-party partsRemote control
Evaluation Criteria 📊
| Criteria | Beginning (1) | Developing (2) | Accomplished (3) | Exemplary (4) | Weight |
|---|---|---|---|---|---|
| Mission Completion | Not attempted | Partial attempt | Most of mission completed | Full mission with precision | ×5 = 20 |
| Custom AI Model & Control | Model/control not demonstrated | Basic model with inconsistent recognition | Effective custom model and reliable pose mapping | Well-trained model with smooth, purposeful control | ×5 = 20 |
| Robot Engineering | Robot doesn’t move | Basic movement | Effective structure for object transport | Clever mechanism design | ×5 = 20 |
| Theme Connection | No rescue context | Weakly related | Clear rescue scenario | Thoughtful emergency response design | ×5 = 20 |
| Presentation | No explanation | Brief demo | Clear demo + technical explanation | Detailed walkthrough of AI + engineering | ×4 = 20 |
Total: 100 points
Submission Requirements 📦
- One combined Presentation & Robot Operation Video — maximum 6 minutes; longer videos cannot be finalised
- Show the team introduction, project and robot/code overview, forward, backward, left/right movement or turning, servo control, pose response, testing, learning and improvements
- A required Code File — SB3 only
- A Teachable Machine Pose model URL
- An optional Project Note — two to five sentences if already prepared; it may be left blank
Online qualification is evidence of the required controls, not the 3-minute final run. Upload the video, SB3 and model URL directly through the RCC Dashboard. A competition field and complete mission run are not required at this stage. The 3-minute official mission is used at the in-person Robotics Final. A written report is not required.
Australian Curriculum Connections 🇦🇺
| Curriculum Area | Connection |
|---|---|
| Digital Technologies | AI model training, Bluetooth control, conditional logic, collaborative digital solutions |
| Design & Technologies | Collaborative design process, prototyping, testing, improvement |
| Science | Forces, motion, motors, engineering stability |
| Mathematics | Measurement, path planning, timing |
| Personal & Social | Teamwork, role delegation, communication, shared responsibility |
Aligned with Australian Curriculum V9.0
“Train your AI together. Build your robot together. Complete the mission together.”
