Compiling ROS schooling curricula via contentual taxonomies
- The Robot Operating System (ROS) is the current de-facto standard in robot middlewares. The steadily increasing size of the user base results in a greater demand for training as well. User groups range from students in academia to industry professionals with a broad spectrum of developers in between. To deliver high quality training and education to any of these audiences, educators need to tailor individual curricula for any such training. In this paper, we present an approach to ease compiling curricula for ROS trainings based on a taxonomy of the teaching contents. The instructor can select a set of dedicated learning units and the system will automatically compile the teaching material based on the dependencies of the units selected and a set of parameters for a particular training. We walk through an example training to illustrate our work.
| Author: | Alexander FerreinORCiD, Marcus Meeßen, Nicolas Limpert, Stefan SchifferORCiD |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-030-67411-3_5 |
| ISBN: | 978-3-030-67411-3 |
| Parent Title (English): | Robotics in Education |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Wilfried Lepuschitz |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2021 |
| Date of the Publication (Server): | 2021/04/16 |
| First Page: | 49 |
| Last Page: | 60 |
| Note: | RiE: International Conference on Robotics in Education (RiE); Advances in Intelligent Systems and Computing book series (AISC, volume 1316) |
| Link: | https://doi.org/10.1007/978-3-030-67411-3_5 |
| Zugriffsart: | campus |
| Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| FH Aachen / MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik | |
| collections: | Verlag / Springer |
