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 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:
Saunders-Smits, Gillian; van der Niet, Astrid; Claij, Cilia (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
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version 2 - 2023-12-21 (latest)
version 1 - 2023-12-12

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.

history
  • 2023-12-12 first online
  • 2023-12-21 published, posted
publisher
4TU.ResearchData
organizations
Delft University of Technology