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https://doi.org/10.21256/zhaw-27492| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Efficient delivery of robotics programming educational content using cloud robotics |
| Authors: | Murphy, Seán Militano, Leonardo Toffetti Carughi, Giovanni Maurer, Remo |
| et. al: | No |
| DOI: | 10.1109/ICRAE56463.2022.10056179 10.21256/zhaw-27492 |
| Proceedings: | 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022) |
| Page(s): | 222 |
| Pages to: | 226 |
| Conference details: | 7th International Conference on Robotics and Automation Engineering (ICRAE), Singapore, 18-20 November 2022 |
| Issue Date: | 18-Nov-2022 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-6654-8918-8 978-1-6654-8917-1 |
| Language: | English |
| Subjects: | Cloud robotics; Edge computing; Kubernetes; Robotic application |
| Subject (DDC): | 004: Computer science |
| Abstract: | In this paper, we report on our use of cloud-robotics solutions to teach a Robotics Applications Programming course at Zurich University of Applied Sciences (ZHAW). The usage of Kubernetes based cloud computing environment combined with real robots - turtlebots and Niryo arms - allowed us to: 1) minimize the set up times required to provide a Robotic Operating System (ROS) simulation and development environment to all students independently of their laptop architecture and OS; 2) provide a seamless “simulation to real” experience preserving the exciting experience of writing software interacting with the physical world; and 3) sharing GPUs across multiple student groups, thus using resources efficiently. We describe our requirements, solution design, experience working with the solution in the educational context and areas where it can be further improved. This may be of interest to other educators who may want to replicate our experience. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/27492 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Published as part of the ZHAW project: | NEPHELE – A Lightweight Software Stack and Synergetic Meta-Orchestration Framework for the Next Generation Compute Continuum |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Murphy-etal_Efficient-delivery-of-robotics-programming_IEEE_AAM.pdf | Accepted Version | 2.81 MB | Adobe PDF |  View/Open |
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Murphy, S., Militano, L., Toffetti Carughi, G., & Maurer, R. (2022). Efficient delivery of robotics programming educational content using cloud robotics [Conference paper]. 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022), 222–226. https://doi.org/10.1109/ICRAE56463.2022.10056179
Murphy, S. et al. (2022) ‘Efficient delivery of robotics programming educational content using cloud robotics’, in 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022). IEEE, pp. 222–226. Available at: https://doi.org/10.1109/ICRAE56463.2022.10056179.
S. Murphy, L. Militano, G. Toffetti Carughi, and R. Maurer, “Efficient delivery of robotics programming educational content using cloud robotics,” in 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022), Nov. 2022, pp. 222–226. doi: 10.1109/ICRAE56463.2022.10056179.
MURPHY, Seán, Leonardo MILITANO, Giovanni TOFFETTI CARUGHI und Remo MAURER, 2022. Efficient delivery of robotics programming educational content using cloud robotics. In: 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022). Conference paper. IEEE. 18 November 2022. S. 222–226. ISBN 978-1-6654-8918-8
Murphy, Seán, Leonardo Militano, Giovanni Toffetti Carughi, and Remo Maurer. 2022. “Efficient Delivery of Robotics Programming Educational Content Using Cloud Robotics.” Conference paper. In 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022), 222–26. IEEE. https://doi.org/10.1109/ICRAE56463.2022.10056179.
Murphy, Seán, et al. “Efficient Delivery of Robotics Programming Educational Content Using Cloud Robotics.” 2022 7th International Conference on Robotics and Automation Engineering (ICRAE 2022), IEEE, 2022, pp. 222–26, https://doi.org/10.1109/ICRAE56463.2022.10056179.
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