A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning
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Palabras clave

Reinforcement learning algorithms
Q-Learning
Lego Mindstorms
Matlab.

Resumen

A common problem working with mobile robots is that programming phase could be a long, expensive and heavy process for programmers. The reinforcement learning algorithms offer one of the most general frameworks in learning subjects. This work presents an approach using the Q-Learning algorithm on a Lego robot in order for it to learn by itself how to follow a blackline drawn down on a white surface, using Matlab [5] as programming environment.
https://doi.org/10.15174/au.2012.350
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