A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning
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...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | México |
| Institución: | Universidad Veracruzana |
| Repositorio: | Redalyc-UV |
| OAI Identifier: | oai:redalyc.org:41623190016 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=41623190016 |
| Access Level: | acceso abierto |
| Palabra clave: | Multidisciplinarias (Ciencias Sociales) Matlab Learning Lego Mindstorms Reinforcement learning algorithms |
| Sumario: | 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 black line drawn down on a white surface, using Matlab [5] as programming environment. |
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