2027 enrolments are open! Black Friday, Christmas & Boxing Day early bird · Save 20%.View offers
AICAMP Find a program
AI Adventure Series

Mission Mars

Build a rover mission. Explore how AI sees. Your child’s next adventure begins on a miniature Mars landscape. Across two hands-on days, young explorers will plan a rover mission, code its movements and investigate how AI learns to recognise visual clues.

Book now
A young maker shows a six-wheeled Mars rover.

What your child will do

1

Day 1 — Explore, build and plan

Join a mission team and investigate the challenges of travelling across a Mars landscape. Children will help create the terrain, identify obstacles and plan a rover route. They will explore how code controls movement, test their first instructions and make changes when the rover behaves differently from what they expected. The day also introduces visual recognition: what clues could help an AI model distinguish one example from another?

2

Day 2 — Train, test and complete the mission

Train a simple image classifier using labelled examples, then challenge it with pictures it has not seen before. Children will investigate unexpected predictions and explore how changing the training examples affects the results. They will also refine their rover instructions and put their mission plan through a final test. The camp finishes with a demonstration where children share their route, explain their improvements and celebrate what their team discovered.

What they’ll make

A Mars mission built by your child Imagine a rover approaching an unfamiliar obstacle. Which direction should it take? What information does it need? How can the mission team check whether its instructions work? At Mission Mars, children explore these questions through creative construction, coding and practical experiments. They will help create a miniature Mars landscape, map a route and write instructions to guide a rover through the terrain. Alongside their rover challenges, children will train a simple image classifier—an AI model that learns to sort pictures from labelled examples.