Waterstone, R., Charlton, P., Gibbs, D. et al. (1 more author) (2021) Preparing the workforce for 2030 : skills and education for robotics & autonomous systems. Report. UK-RAS White Papers . UK Robotics and Autonomous Systems (UK-RAS) Network , London. ISSN 2398-4414
Abstract
Across the world, and here in the UK, industry and commerce are undergoing a 4th industrial revolution (4IR) that will bring about a step-change in UK productivity whilst also transforming how people interact with, and work alongside, digital systems and smart machines. At the heart of this transformation are RAS technologies.
These are exciting times, however, the UK is faced with significant challenges. Amongst the most important are the need to reskill the current workforce to work safely and effectively alongside robots, to train managers to understand and effectively deploy automation, and to ensure that, across all levels of education, people from diverse backgrounds have the skills they need to be part of the 2030 workforce. In this white paper we summarise these opportunities and challenges, identify promising recent initiatives in skills training, both in the UK and across the world, and identify future interventions in UK RAS education that are both affordable and scaleable, and that could help the UK maintain its place as a leading technological economy.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 UK-RAS. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council n/a |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jan 2022 11:18 |
Last Modified: | 24 Jan 2022 11:18 |
Status: | Published |
Publisher: | UK Robotics and Autonomous Systems (UK-RAS) Network |
Series Name: | UK-RAS White Papers |
Identification Number: | 10.31256/WP2021.1 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182836 |