Abstract
Following the recommendations of the European Commission, with the aim of positioning the EU as a leader in the technological revolution that is yet to come, Artificial Intelligence (AI) teaching at University degrees should be updated. Current AI subjects should move from theoretical and virtual applications towards what is called “specific AI”, focused on real embedded devices, using data from real sensors and interacting with their environment to solve problems in the real world. These real devices must have the computing power to process all the information that comes from their sensors and also full network connectivity, to allow the connection with other intelligent devices. This work belongs to an Erasmus Plus proposal in such direction, called TAIREMA, which aims to provide a set of tools to include low-cost embedded devices at classes to support AI teaching. One of these tools is a smartphone-based robot called Robobo, which is the main topic of this paper. We will present its main features, mainly in software aspects, and we will describe some specific teaching units that have been developed in classes during the last year in AI subjects.
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Acknowledgments
This work has been partially funded by ROSIN project (Agreement 732287), Ministerio de Ciencia, Innovación y Universidades of Spain/FEDER (RTI2018-101114-B-I00), Xunta de Galicia and FEDER (ED431C 2017/12).
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Llamas, L.F., Paz-Lopez, A., Prieto, A., Orjales, F., Bellas, F. (2020). Artificial Intelligence Teaching Through Embedded Systems: A Smartphone-Based Robot Approach. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-35990-4_42
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