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

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 platform, a major improvement over the previous RCX platform, these projects are part of the LMICSE web site, a large repository of MindStorms-based computer science curriculum materials.

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Cite this paper

@inproceedings{McNally2007ExploitingMN, title={Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course}, author={Myles F. McNally and Frank Klassner and Christopher Continanza}, booktitle={FLAIRS Conference}, year={2007} }