Ugarte, N., Van Cleemput, M., Spolmink, R., & Lemeire, J. (2024). Enhancing Educational Methods for Electric Machines and Drives through Open-Source Robotics. In 2024 IEEE 11th International Conference on E-Learning in Industrial Electronics (ICELIE) (pp. 1-6). (IEEE International Conference on E-learning in Industrial Electronics). IEEE. https://doi.org/10.1109/ICELIE62250.2024.10814813

@inproceedings{f4d8fcad8951439497b226e2650d74bc,
title = "Enhancing Educational Methods for Electric Machines and Drives through Open-Source Robotics",
abstract = "This paper introduces an innovative educational robot designed to enhance learning in electric machines, drives, and power electronics through its user-friendly and easily implementable features. The robot, developed as a modular and open-source platform, facilitates hands-on learning across multiple disciplines, including mathematics, physics, programming, and artificial intelligence. By providing all design files, source code, and schematics on a publicly accessible platform, the project supports customization and expansion, allowing users to adapt and build upon the base robot for diverse educational applications. This approach not only improves understanding of both hardware and software principles but also aligns with modern educational methodologies that leverage advanced tools to enrich the learning experience. The link to the GitLab project can be found here: https://gitlab.com/etrovub/learningrobots/projects/educationalmodular-robot .",
author = "Nicolas Ugarte and \{Van Cleemput\}, Marco and Ruben Spolmink and Jan Lemeire",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.",
year = "2024",
month = dec,
doi = "10.1109/ICELIE62250.2024.10814813",
language = "English",
isbn = "979-8-3503-6366-1",
series = "IEEE International Conference on E-learning in Industrial Electronics",
publisher = "IEEE",
pages = "1--6",
booktitle = "2024 IEEE 11th International Conference on E-Learning in Industrial Electronics (ICELIE)",
}