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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
Subjects: F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences
Divisions: Faculty of Environment > School of Earth and Environment
Related resources:
LocationType
https://doi.org/10.1038/s41467-022-31150-5Publication
https://eprints.whiterose.ac.uk/id/eprint/188366/Publication
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

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