A ROS-Based Open Tool for Intelligent Robotics Education
This paper presents an open-access platform for practical learning of intelligent robotics in engineering degrees: Robotics-Academy. It comprises a collection of exercises including recent service robot applications in real life, with different robots such as autonomous cars, drones or vacuum cleane...
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| Published in | Applied sciences Vol. 10; no. 21; p. 7419 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
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MDPI AG
01.11.2020
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| Online Access | Get full text |
| ISSN | 2076-3417 2076-3417 |
| DOI | 10.3390/app10217419 |
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| Abstract | This paper presents an open-access platform for practical learning of intelligent robotics in engineering degrees: Robotics-Academy. It comprises a collection of exercises including recent service robot applications in real life, with different robots such as autonomous cars, drones or vacuum cleaners. It uses Robot Operating System (ROS) middleware, the de facto standard in robot programming, the 3D Gazebo simulator and the Python programming language. For each exercise, a software template has been developed, performing all the auxiliary tasks such as the graphical interface, connection to the sensors and actuators, timing of the code, etc. This also hosts the student’s code. Using this template, the student just focuses on the robot intelligence (for instance, perception and control algorithms) without wasting time on auxiliary details which have little educational value. The templates are coded as ROS nodes or as Jupyter Notebooks ready to use in the web browser. Reference solutions for illustrative purposes and automatic assessment tools for gamification have also been developed. An introductory course to intelligent robotics has been elaborated and its contents are available and ready to use at Robotics-Academy, including reactive behaviors, path planning, local/global navigation, and self-localization algorithms. Robotics-Academy provides a valuable complement to master classes in blended learning, massive online open courses (MOOCs) and online video courses, devoted to addressing theoretical content. This open educational tool connects that theory with practical robot applications and is suitable to be used in distance education. Robotics-Academy has been successfully used in several subjects on undergraduate and master’s degree engineering courses, in addition to a pre-university pilot course. |
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| AbstractList | This paper presents an open-access platform for practical learning of intelligent robotics in engineering degrees: Robotics-Academy. It comprises a collection of exercises including recent service robot applications in real life, with different robots such as autonomous cars, drones or vacuum cleaners. It uses Robot Operating System (ROS) middleware, the de facto standard in robot programming, the 3D Gazebo simulator and the Python programming language. For each exercise, a software template has been developed, performing all the auxiliary tasks such as the graphical interface, connection to the sensors and actuators, timing of the code, etc. This also hosts the student’s code. Using this template, the student just focuses on the robot intelligence (for instance, perception and control algorithms) without wasting time on auxiliary details which have little educational value. The templates are coded as ROS nodes or as Jupyter Notebooks ready to use in the web browser. Reference solutions for illustrative purposes and automatic assessment tools for gamification have also been developed. An introductory course to intelligent robotics has been elaborated and its contents are available and ready to use at Robotics-Academy, including reactive behaviors, path planning, local/global navigation, and self-localization algorithms. Robotics-Academy provides a valuable complement to master classes in blended learning, massive online open courses (MOOCs) and online video courses, devoted to addressing theoretical content. This open educational tool connects that theory with practical robot applications and is suitable to be used in distance education. Robotics-Academy has been successfully used in several subjects on undergraduate and master’s degree engineering courses, in addition to a pre-university pilot course. |
| Author | García-Pérez, Lía Fernández-Conde, Jesús Perdices, Eduardo Cañas, José M. |
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| Cites_doi | 10.1016/j.robot.2016.02.004 10.1007/978-3-319-97085-1_7 10.1016/j.compedu.2011.07.003 10.1109/ACCESS.2019.2913916 10.1007/978-3-540-69924-8_2 10.1186/s41239-017-0062-1 10.1002/cae.20342 10.1002/cae.20542 10.1109/MRA.2016.2636375 10.1016/j.robot.2007.10.001 10.1007/s10846-015-0201-7 10.1109/CoASE.2015.7294097 10.1007/s10846-015-0229-8 10.1002/cae.21615 10.1002/cae.21698 10.1016/j.proeng.2015.01.519 10.1007/978-3-319-59044-8_9 10.1016/j.ijcci.2018.06.004 10.21125/inted.2017.0929 10.1002/cae.20433 10.4995/riai.2018.8962 10.1109/MRA.2016.2548779 10.1109/ICRA.2015.7140055 10.1080/08993408.2013.847226 10.1186/s41239-017-0042-5 10.1049/iet-cta.2008.0380 10.1109/TE.2012.2224867 10.1002/cae.20576 10.1007/978-3-642-20144-8 10.1109/CRV.2013.53 |
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| Copyright | 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | Artificial intelligence Colleges & universities Computer engineering Computer science Control algorithms distance learning engineering education Higher education intelligent robotics Interdisciplinary aspects Kinematics Laboratories Learning Online instruction open educational tool Robotics Robots Software Students Teaching |
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