Students learn to design, program and control fully-functional models. They use software to plan, test and modify sequences of instructions for a variety of life-like robotic behaviours. And they learn to collect and analyze data from sensors, using data logging functions embedded in the software.
We do send our best students to competition. However, our main drive is to have students work together in teams to solve problems.
Activity packs are developed by Carnegie Mellon University’s Robotics Academy and provide a series of real-life activities, covering topics within science, technology, engineering and mathematics.