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

1 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.

• Type: Conference
• Year: 2007
• Where: FLAIRS
• Authors: Myles F. McNally, Frank Klassner, Christopher Continanza
• Keywords: Artificial Intelligence, FLAIRS 2007, Lego MindStorms NXT, Major Student Projects, Monte Carlo Localization