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Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning through Educational Robotics
dc.contributor.author | Naya-Varela, M. | |
dc.contributor.author | Guerreiro-Santalla, Sara | |
dc.contributor.author | Baamonde, Tamara | |
dc.contributor.author | Bellas, Francisco | |
dc.date.accessioned | 2024-01-17T17:31:53Z | |
dc.date.available | 2024-01-17T17:31:53Z | |
dc.date.issued | 2023-02-13 | |
dc.identifier.citation | M. Naya-Varela, S. Guerreiro-Santalla, T. Baamonde and F. Bellas, "Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning Through Educational Robotics," in IEEE Transactions on Learning Technologies, vol. 16, no. 4, pp. 543-559, Aug. 2023, doi: 10.1109/TLT.2023.3244604. | es_ES |
dc.identifier.issn | 1939-1382 | |
dc.identifier.uri | http://hdl.handle.net/2183/34961 | |
dc.description | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | es_ES |
dc.description.abstract | [Abstract]: This paper presents the Robobo SmartCity model, an educational resource to introduce students in Computational Intelligence (CI) topics using educational robotics as the core learning technology. Robobo SmartCity allows educators to train learners in Artificial Intelligence (AI) fundamentals from a feasible and practical perspective, following the recommendations of digital education plans to introduce AI at all educational levels. This resource is based on the Robobo educational robot and an autonomous driving setup. It is made up of a city mockup, simulation models, and programming libraries adapted to the students' skill level. In it, students can be trained in CI topics that support robot autonomy, as computer vision, machine learning, or human-robot interaction, while developing solutions in the motivating and challenging scope of autonomous driving. The main details of this open resource are provided with a set of possible challenges to be faced in it. They are organized in terms of the educational level and students’ skills. The resource has been mainly tested with secondary and high school students, obtaining successful learning outcomes, presented here to inspire other teachers in taking advantage of this learning technology in their classes. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | This work has been partially funded by the Erasmus+ Programme of the European Union through grant number 2019-1-ES01-KA201-065742, and the Centro de Investigación de Galicia "CITIC", funded by Xunta de Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by grant ED431G 2019/01. In addition, the “Programa de ayudas a la etapa predoctoral” from Xunta de Galicia (Consellería de Cultura, Educación y Universidad) supported this work through Sara Guerreiro’s grant. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation.uri | https://doi.org/10.1109/TLT.2023.3244604 | es_ES |
dc.rights | © 2023 IEEE | es_ES |
dc.subject | Computational intelligence | es_ES |
dc.subject | Educational robots | es_ES |
dc.subject | Educational simulations | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | Mobile and personal devices | es_ES |
dc.subject | Robot programming | es_ES |
dc.subject | STEM | es_ES |
dc.title | Robobo SmartCity: An Autonomous Driving Model for Computational Intelligence Learning through Educational Robotics | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | IEEE Transactions on Learning Technologies | es_ES |
UDC.volume | 16 | es_ES |
UDC.issue | 4 | es_ES |
dc.identifier.doi | https://doi.org/10.1109/TLT.2023.3244604 |
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