Abstract
This paper presents the new release of the Robotics Academy learning framework and the open course on Intelligent Robotics available on it . The framework hosts a collection of practical exercises of robot programming for engineering students and teachers at universities. It has evolved from an open tool, which the users had to install on their machines, to an open web platform, simplifying the user’s experience. It has been redesigned with the adoption of state-of-the-art web technologies and DevOps that make it cross-platform and scalable. The web browser is the new frontend for the users, both for source code editing and for the monitoring GUI of the exercise execution. All the software dependences are already preinstalled in a container, including the Gazebo simulator. The proposed web platform provides a free and nice way for teaching Robotics following the learn-by-doing approach. It is also a useful complement for remote educational robotics.
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Acknowledgements
This research was partially funded by the Community of Madrid within three projects: “UNIBOTICS2.0: Plataforma web educativa de programación de robots y visión artificial” inside a multiannual agreement with URJC, Encouragement of Young Ph.D. Students Investigation; “RoboCity2030—Madrid Robotics Digital Innovation Hub” (Ref. S2018/NMT-4331) ; and by the Madrid Regional Government through the project eMadrid-CM(S2018/TCS-4307). The later is also co-financed by the Structural Funds (FSE and FEDER). The authors also thank Google for funding the JdeRobot non-profit organization in its calls for Google Summer of Code 2015, 2017, 2018, 2019, and 2020. Found action by the Community of Madrid in the framework of the Multiannual Agreement with the Rey Juan Carlos University in line of action 1, “Encouragement of Young Phd students investigation” Project Ref. F664 Acronym UNIBOTICS2.0
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Roldán-Álvarez, D., Mahna, S., Cañas, J.M. (2022). A ROS-based Open Web Platform for Intelligent Robotics Education. In: Merdan, M., Lepuschitz, W., Koppensteiner, G., Balogh, R., Obdržálek, D. (eds) Robotics in Education. RiE 2021. Advances in Intelligent Systems and Computing, vol 1359. Springer, Cham. https://doi.org/10.1007/978-3-030-82544-7_23
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