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

摘要

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.