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

Authors

Myles McNally

Frank Klassner

Christopher Gaffnee

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Abstract:

This paper describes two major student projects for the artificial intelligence course — Mapping using Bayesian filter and Monte Carlo Localization. These projects are also suitable 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.