A Laboratory Exercise using LEGO Handy Board Robots to Demonstrate Neural Networks in an Artificial Intelligence Class

Accessible Hands-on AI and Robotics Education

Volume

Papers from the 2004 AAAI Spring Symposium

Contents

In this paper we propose a novel method for teaching neural networks with back propagation in an undergraduate Artificial Intelligence course. The students build a robot whose task is to learn path-following behavior with a neural network. Robots are constructed from standard LEGO® pieces and use the MIT Handy Board as a controller.