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Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course.

Myles McNally, Frank Klassner, Christopher Continanza

Year
2007
Citations
2

Abstract

This paper describes two major student projects for the arti-ficial intelligence course – Mapping using Bayesian filter and Monte Carlo Localization. These projects are also suit-able for a course focusing on autonomous mobile robotics. Implemented using the new Lego MindStorms NXT plat-form, a major improvement over the previous RCX plat-form, these projects are part of the LMICSE web site, a large repository of MindStorms-based computer science curriculum materials.

Keywords

Computer scienceRoboticsArtificial intelligenceSoftware engineeringCourse (navigation)CurriculumMonte Carlo methodHuman–computer interactionRobotEngineering

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