Conference paper 2024

Teaching Reinforcement Learning Fundamentals in Vocational Education and Training with RoboboSim

RC
Renda, Cristina
 PA
Prieto, Abraham
 BF
Bellas, Francisco J.
Lecture Notes in Networks and Systems
Conference · Vol. 978 LNNS · pp. 526-538
Abstract

The current paper presents an educational resource to introduce Vocational Education and Training (VET) students to the topic of Reinforcement Learning (RL) through a practical activity. Specifically, they have to program a Q-learning algorithm using Python language to obtain a policy that allows a mobile robot to solve a task autonomously in an industrial-like setup. To this end, a 3D simulation platform called RoboboSim, and the Python libraries of the Robobo educational robot are used. The resource has been developed in the scope of the Erasmus + project called AIM@VET, and it has been tested with a group of 12 VET students from Spain, Portugal, and Slovenia. The obtained results have been successful, and students with no previous background on RL have learned its fundamentals through a purely practical methodology. In addition, some drawbacks have been captured from teachers and students, and the resource has been improved accordingly before it was made available through the project web. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Author Keywords

Project-Based Learning Reinforcement Learning AI literacy Educational Robotics

Index Keywords

Apprentices Students Project based learning 'current Vocational education and training Learning algorithms Simulation platform Reinforcement learnings Reinforcement learning Educational robots Computer software Training students Educational resource Educational robotics AI literacy PYTHON language Q-learning algorithms
Author Affiliations
CITIC Research Center, Universidade da Coruña, A Coruna, A Coruña, Spain
Research Center, Universidade da Coruña, A Coruna, A Coruña, Spain
Funding & Acknowledgements
Ministerio de Ciencia e Innovación, MCIN
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
Agencia Estatal de Investigación, AEI
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
Xunta de Galicia
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
European Regional Development Fund, ERDF
Grant: ED431G 2019/01
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
European Regional Development Fund, ERDF
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
European Commission, EC
Grant: 2022–1-ES01-KA220-VET-000089813, TED2021-131172B-I00
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
European Commission, EC
The authors wish to acknowledge the CITIC research center, funded by Xunta de Galicia and European Regional Development Fund (grant ED431G 2019/01) and the Erasmus+ Programme of the European Union (grant 2022\u20131-ES01-KA220-VET-000089813). The work of F. Bellas and C. Renda was supported by Grant TED2021-131172B-I00 funded by MCIN/AEI/ https://doi.org/10.13039/501100011033 and by the \u201CEuropean Union NextGenerationEU/PRTR\u201D.
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