Description

Can you design the fastest, smartest robot to beat the maze?

Maths Maze is a high-energy robotics challenge where students apply geometry, logic, coding, and machine learning to guide their robots through intricate mazes filled with real-world obstacles, sharp turns, and strategic decision points.

Students begin their Maths Maze journey by using developing and refining algorithms that direct their robots to manoeuvre accurately and make decisions autonomously. They use geometric reasoning – angles, turns, and distances, to plan efficient robot paths through physical and digital maze environments. Customising robots with lights, sounds, and design elements, enhancing both functionality and creativity. As the program progresses, students incorporate machine learning to train their robots to recognise road signs, vehicles, and pedestrians, simulating real-world applications like autonomous driving. They test and refine their robot’s performance, collecting data on speed, responsiveness, and error rates to optimise their strategies. The final challenge is a timed maze run, where teams compete to see which bot performs best under pressure -balancing logic, precision, and creativity to win the race.