Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design (collection)

Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

DOI:10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff.v2

The DOI displayed above is for this specific version of this collection, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff

Datacite citation style

(2023): Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. Version 2. 4TU.ResearchData. collection. https://doi.org/10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff.v2

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

Keywords

Time coverage

2023

This collection contains the datasets accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design that was published during the SEFI conference in Dublin in September 2023.