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
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doi: 10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff
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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Collection
choose version:
version 2 - 2023-12-21 (latest)
version 1 - 2023-12-12
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.
history
- 2023-12-12 first online
- 2023-12-21 published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design
organizations
Delft University of Technology
DATASETS
- [dataset] Dataset with aggregated data accompanying SEFI Paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design
- [dataset] Dataset with anonymous non-aggregated data accompanying SEFI paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design