Robotics Category C — Open AI Rescue Robotics

ROBOTICS CATEGORY C

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.

🤖 Upper Primary – Year 12 recommended; capable younger students may enter👥 Individual or Team of 2–5🔓 Any Robot Platform

Sample Project Video 🎥

Watch a Robotics sample for guidance on presenting an open-platform robot, its operation and editable code.


Your Mission 🎯

Design, build, and program a robot that solves a Highway Collapse rescue problem — 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.

🧠 2026 Focus: Students are strongly encouraged to train a Google Teachable Machine Pose Classification model and use it to control their robot. Successful AI-to-robot integration receives up to +20 bonus points.

Two Ways to Participate 🛤️

Standard Open Robotics

Use any robot platform to complete a rescue mission. Program with any language or tool.

Scoring: 100 points (base)

⭐ 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 🤖

✅ LEGO SPIKE Prime✅ LEGO EV3✅ micro:bit✅ Arduino✅ Raspberry Pi✅ VEX✅ MRT✅ Other school-approved robots

Coding tool: Use an SB3-compatible block-coding environment. The submitted project/code file must be SB3.


Mission Ideas 💡

MissionDescription
Survivor Detection RobotUse sensors to detect people or objects in a collapse zone
Supply Delivery RobotTransport medical supplies to a destination through obstacles
Hazard Zone ExplorerNavigate debris and mark danger areas
Smart Traffic ControlUse lights, barriers, or signals to reroute traffic around the collapse
AI Pose-Controlled Rescue BotControl the robot with body movements via Teachable Machine
Temporary Bridge BuilderTransport and assemble parts for a temporary crossing

Evaluation Criteria 📊

Base Score — 100 points

CriteriaBeginning (1)Developing (2)Accomplished (3)Exemplary (4)Weight
Problem SolvingNo clear problemProblem identified but weak solutionClear problem → solution designInnovative, well-researched approach×5 = 20
Robot DesignRobot doesn’t functionBasic movement onlyEffective structure and componentsElegant engineering with clear purpose×5 = 20
Coding & ControlNo working codeBasic commands onlyLogic, conditions, sensors usedRobust, well-structured program×5 = 20
Mission PerformanceMission not attemptedPartial missionMission mostly completedFull mission success with precision×5 = 20
PresentationNo explanationBrief overviewClear demo + explanationExcellent walkthrough of design process×4 = 20

⭐ AI Bonus — up to +20 points

AI ElementBonusRequirement
Custom AI Model+5Student/team trained their own Teachable Machine Pose model
Pose Recognition Quality+5Stable, accurate recognition of 3+ distinct poses
AI-to-Robot Integration+5Pose recognition results connected to real robot movements
AI Mission Usefulness+5AI control meaningfully helps complete the rescue mission

Maximum Total: 120 points


Submission Requirements 📦

  • One combined Presentation & Robot Operation Video — maximum 6 minutes
  • Show forward, backward, left/right movement or turning and required servo control
  • An editable Project File — submit SB3 directly, or one ZIP containing the original editable files for any non-SB3 platform
  • An optional Project Note — two to five sentences if already prepared; it may be left blank
  • If AI is used: include your Teachable Machine model URL
Upload the video and code file directly through the RCC Dashboard; Google Drive, GitHub and participant YouTube links are not required. This video is the online qualification entry for the UNSW Sydney Robotics Finals. A competition field and complete mission run are not required at this stage. Explain the robot design, controls, strategy, testing and learning in the video; a written report is not required.

Australian Curriculum Connections 🇦🇺

Curriculum AreaConnection
Digital TechnologiesAI control, sensor input, autonomous logic, robot programming, digital solutions
Design & TechnologiesOpen robot design, prototyping, testing, iterative improvement for real-world problems
ScienceForces, motion, friction, motors, structural stability, sensors
MathematicsMeasurement, distance, angles, timing, path planning, data accuracy
HASS / GeographyRoad collapse impact, safety systems, community infrastructure, disaster response
Critical & Creative ThinkingDesigning innovative solutions, evaluating effectiveness, creative engineering

Aligned with Australian Curriculum V9.0

“Any robot. Any code. Add AI to go further.”

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Australian Government UNSW built Environment MRT Robotics Partnership Inquiries Your Logo Here
Organised In Partnership With UNSW Built Environment
Supported By
🔹 UNSW Built Environment Women in Construction Project 🔹 Department of the Prime Minister and Cabinet’s Office for Women 🔹 MRT Robotics (mrtrobotics.com) e-learning system

Corporate sponsors are acknowledged for supporting specific RCC events, awards, programs or student initiatives. Sponsor recognition does not imply endorsement by participating schools, public institutions or universities. Names and logos of institutions are used only where permission has been granted.