AAAI Publications, Twenty-Fifth International FLAIRS Conference

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Genetic Algorithms with Lego Mindstorms and Matlab
Frank Klassner, James Peyton-Jones, Kurt Lehmer

Last modified: 2012-05-16

Abstract


This paper presents a case study in combining Lego Mindstorms NXT with Matlab/Simulink to help students in an undergraduate Machine Learning course study genetic algorithm design and testing. The project uses the VU-LRT toolbox to enable students to access the hardware capabilities of the Mindstorms platform from within Matlab. The course's enrollment was comprised of students from several majors with a variety of programming backgrounds. The course is part of an interdisciplinary cognitive science concentration. We report on the VU-LRT toolbox, the considerations imposed by the diversity of the student population on the design of the laboratory module and student evaluations of the laboratory module.

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