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

Susan B. Imberman

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.


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