Open AI Rescue Robotics
Use any school-approved robot to solve the Highway Collapse rescue mission. Train your own AI Pose model for up to +20 bonus points.
Your Mission π―
Design, build, and program a robot that solves a Highway Collapse rescue problem β search, detect, deliver supplies, clear obstacles, or control traffic.
Category C is an open platform category: use LEGO, micro:bit, Arduino, VEX, MRT, Raspberry Pi, or any school-approved robot.
Two Ways to Participate π€οΈ
Standard Open Robotics
Use any robot platform to complete a rescue mission. Program with any language or tool.
Scoring: 100 points (base)
β AI-Enhanced Open Robotics
Train your own Teachable Machine Pose model and connect it to control your robot via body movements.
Scoring: 100 points + up to +20 AI Bonus
Accepted Robot Platforms π€
Coding tools: Any language or environment β block coding, MakeCode, Python, C++, Scratch, or MRT AI Studio.
Mission Ideas π‘
| Mission | Description |
|---|---|
| Survivor Detection Robot | Use sensors to detect people or objects in a collapse zone |
| Supply Delivery Robot | Transport medical supplies to a destination through obstacles |
| Hazard Zone Explorer | Navigate debris and mark danger areas |
| Smart Traffic Control | Use lights, barriers, or signals to reroute traffic around the collapse |
| AI Pose-Controlled Rescue Bot | Control the robot with body movements via Teachable Machine |
| Temporary Bridge Builder | Transport and assemble parts for a temporary crossing |
Evaluation Criteria π
Base Score β 100 points
| Criteria | Beginning (1) | Developing (2) | Accomplished (3) | Exemplary (4) | Weight |
|---|---|---|---|---|---|
| Problem Solving | No clear problem | Problem identified but weak solution | Clear problem β solution design | Innovative, well-researched approach | Γ5 = 20 |
| Robot Design | Robot doesn’t function | Basic movement only | Effective structure and components | Elegant engineering with clear purpose | Γ5 = 20 |
| Coding & Control | No working code | Basic commands only | Logic, conditions, sensors used | Robust, well-structured program | Γ5 = 20 |
| Mission Performance | Mission not attempted | Partial mission | Mission mostly completed | Full mission success with precision | Γ5 = 20 |
| Presentation | No explanation | Brief overview | Clear demo + explanation | Excellent walkthrough of design process | Γ4 = 20 |
β AI Bonus β up to +20 points
| AI Element | Bonus | Requirement |
|---|---|---|
| Custom AI Model | +5 | Student/team trained their own Teachable Machine Pose model |
| Pose Recognition Quality | +5 | Stable, accurate recognition of 3+ distinct poses |
| AI-to-Robot Integration | +5 | Pose recognition results connected to real robot movements |
| AI Mission Usefulness | +5 | AI control meaningfully helps complete the rescue mission |
Maximum Total: 120 points
Submission Requirements π¦
- A video link (YouTube Unlisted) β max 3 minutes, uncut robot performance recommended
- Robot and components used
- Coding tool or language used
- A short description (300+ characters)
- If AI is used: Teachable Machine model URL
Australian Curriculum Connections π¦πΊ
| Curriculum Area | Connection |
|---|---|
| Digital Technologies | AI control, sensor input, autonomous logic, robot programming, digital solutions |
| Design & Technologies | Open robot design, prototyping, testing, iterative improvement for real-world problems |
| Science | Forces, motion, friction, motors, structural stability, sensors |
| Mathematics | Measurement, distance, angles, timing, path planning, data accuracy |
| HASS / Geography | Road collapse impact, safety systems, community infrastructure, disaster response |
| Critical & Creative Thinking | Designing innovative solutions, evaluating effectiveness, creative engineering |
Aligned with Australian Curriculum V9.0
“Any robot. Any code. Add AI to go further.”
