A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad de Guanajuato
2012
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876468845894434816 |
|---|---|
| author | Víctor Ricardo Cruz-Álvarez |
| author_facet | Víctor Ricardo Cruz-Álvarez |
| contents | A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning Víctor Ricardo Cruz-Álvarez Enrique Hidalgo-Peña Hector-Gabriel Acosta-Mesa Multidisciplinarias (Ciencias Sociales) Matlab Learning Lego Mindstorms Reinforcement learning algorithms 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. 2012 artículo científico 0188-6266 https://www.redalyc.org/articulo.oa?id=41623190016 en http://www.redalyc.org/revista.oa?id=416 Acta Universitaria application/pdf Universidad de Guanajuato Acta Universitaria (México) Vol.22 |
| format | Artículo científico |
| id | redalyc_41623190016 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Universidad de Guanajuato |
| spellingShingle | A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning Víctor Ricardo Cruz-Álvarez Multidisciplinarias (Ciencias Sociales) Matlab Learning Lego Mindstorms Reinforcement learning algorithms A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning Víctor Ricardo Cruz-Álvarez Enrique Hidalgo-Peña Hector-Gabriel Acosta-Mesa Multidisciplinarias (Ciencias Sociales) Matlab Learning Lego Mindstorms Reinforcement learning algorithms 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. 2012 artículo científico 0188-6266 https://www.redalyc.org/articulo.oa?id=41623190016 en http://www.redalyc.org/revista.oa?id=416 Acta Universitaria application/pdf Universidad de Guanajuato Acta Universitaria (México) Vol.22 |
| title | A line follower robot implementation using Lego's Mindstorms Kit and Q-Learning |
| topic | Multidisciplinarias (Ciencias Sociales) Matlab Learning Lego Mindstorms Reinforcement learning algorithms |
| url | https://www.redalyc.org/articulo.oa?id=41623190016 |