Research Data Leeds Repository
Dataset associated with 'Meeting the Sustainable Development Goals via Robotics and Autonomous Systems'
Citation
Guenat, Solène and Dallimer, Martin (2021) Dataset associated with 'Meeting the Sustainable Development Goals via Robotics and Autonomous Systems'. University of Leeds. [Dataset] https://doi.org/10.5518/1078
Dataset description
Robotics and autonomous systems (RAS) are reshaping the world and might play a fundamental role in delivering the UN Sustainable Development Goals (SDGs). We asked 102 experts from around the world to which extent RAS was likely to have a positive and negative impact on the delivery of each SDG target, goals, and how difficult such an impact was to predict.
| Keywords: | robotics and autonomous systems, sustainable development goals | ||||||
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| Subjects: | F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences | ||||||
| Divisions: | Faculty of Environment > School of Earth and Environment | ||||||
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
| Date deposited: | 22 Aug 2025 09:53 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1449 | ||||||



Impact of RAS on the SDG targets [88kB]
Impact of RAS on the SDG targets [88kB]