The race track is full of twists, turns, and surprises!
Only the smartest cars will make it to the finish line. Students design and build intelligent race cars that can sense obstacles, react to their surroundings, and make smart decisions. Through coding and experimentation, campers discover how real-world machines “think.”
Aug 17th - Aug 21st, 2026
9:00 am – 4:00 pm
WEEK 8
$630.00 + HST
Ages 8 - 12
EARLY BIRD DISCOUNT
ENDS MARCH 31st
$580.00 + HST
SIBLING DISCOUNT
$25.00 OFF
Extended Care (OPTIONAL)
M: 8:00 am – 9:00 am
4:00 PM - 5:00 PM
$120.00 + HST
MICRO:BIT MAKER ROBOTICS - AI LIGHT EDITION
Smart Racer Bots
In Smart Race Cars (AI Light), students design and code a smart robotic vehicle that can move, detect obstacles, and make decisions using sensors and logic.
Campers build a robotic race car and program it to respond intelligently to its environment: slowing down, stopping, or changing direction based on sensor input. Students explore how real-world autonomous systems work, from self-driving cars to smart delivery robots.
This camp introduces AI Light concepts by focusing on <strong>decision-making and reactive behaviour, helping students understand how robots “think” using code and data.
Solution Topic
In this camp, students explore investigative questions by building smart race cars and discovering how AI Light concepts help machines make driving decisions.
Kids will inquire:
How does a robot know when to stop or turn?
How do sensors help cars react in real time?
How can mistakes be fixed through testing?
Students explore how autonomous systems sense and respond.
Design, Experiment, Build
Campers work through racing and obstacle challenges.
Campers will:
Learn the engineering design process for product design
Ideate, brainstorm what makes a toy fun and SMART?
Assemble a robotic race car
Plan driving behaviour
Build circuits with sensors
Program motion logic
Test and improve on obstacle tracks
Adjust code and design
Demonstrate decision-making
This stage emphasizes decision-making and iteration.
How AI Is Used in Smart Race Cars
Students use micro:bit AI concepts to:
Classify distance ranges (clear / caution/stop)
Recognize movement or sensor patterns
Train the car to choose actions based on predicted conditions
This mirrors how real self-driving systems use sensor data to make safe decisions.
Camp Learning Journey
Day 1: Vehicle assembly and Robotics fundamentals
Robotics Foundations Students assemble their robotic car and explore how motors, wheels, and structure affect movement and control.
Day 2: Movement & Control
Programming Motion Campers program forward motion, turning, and speed control. Students test how code translates into physical movement.
Day 3: Obstacle Detection
Seeing the World with Sensors: Students add sensors to detect distance and obstacles. Campers program responses based on sensor input.
Day 4: AI Light Logic
Smarter Driving Decisions Students implement conditional logic to help their robot make decisions—such as stopping, avoiding obstacles, or changing paths.
Day 5: Race Day & Smart Systems
Showcase Campers test their vehicles on challenge tracks and showcase how their robot makes intelligent decisions.
What will you learn?
Micro:bit robotics programming
Motor control and speed regulation
Sensor-based obstacle detection
Pattern recognition and classification (AI Light)
Conditional logic for autonomous behaviour
Testing and debugging robotic systems
What will you make?
A fully functional smart race car Code that controls motion and reactions
A robotic system that responds to its environment
What will you take?
Your completed robotic vehicle Electronic components used in the build Hands-on experience with autonomous systems
Friday Fun Day
This camp will head to a FIELD TRIP - Destination: CENTRE ISLAND
Campers celebrate problem-solving, iteration, and engineering success.
PIZZA LUNCH DAY (Campers enjoy PIZZA lunch Party on Friday - On us!)
Engineering & Problem-Solving
Building and testing physical systems
Understanding movement, sensors, and feedback
Applying engineering design cycles
Engineering design with physical systems
Coding Electronics & logical thinking
AI-inspired decision making
Creativity and iterative problem-solving
Block-based coding or text-based programming
Circuits, motors, LEDs, and sensors
Collaboration & Creativity
Iteration through trial and improvement
Hands-on confidence with real tools
SKILLS GAINED
Why does this camp matter?
Smart machines are everywhere: from cars to household devices. This camp introduces students to how machines make decisions using sensors, data, and code. By building a robot that can detect obstacles and respond intelligently, students learn foundational ideas behind automation and robotics.
They practice testing, troubleshooting, and improving their designs, skills that support engineering thinking, resilience, and curiosity about how technology works in the real world.