Mulvana, Phillip, Marsland, Lacey-Jo, Boden, Tom et al. (3 more authors) (Accepted: 2024) Implementing autonomy in nuclear robotics; an experience-informed review of applying SACE. In: Safety-Critical Systems Symposium (SSS’24). Safety Critical Systems Symposium, 13-15 Feb 2024 , GBR (In Press)
Abstract
Nuclear decommissioning is a complex, hazardous, and time-consuming process that requires highly skilled and trained operators. To address the workforce bottleneck and the growing inventory of nuclear materials, a Robotic Glovebox with AI capability that can assist in the preparation and processing of nuclear material is being developed. This innovative solution can enable safer, more efficient, and continuous decommissioning operations. To support the adoption of this new technology it is necessary to develop a safety case for the system. In this paper we describe how we have used an autonomous system safety case process (the SACE approach) to generate confidence in our initial AI glovebox design. This safety case example is being provided as input it into the Office for Nuclear Regulation (ONR) regulatory innovation sandbox and should help to establish a new paradigm in safety cases for autonomous systems in nuclear environments.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 24 Jan 2024 09:30 |
Last Modified: | 02 Apr 2025 23:34 |
Status: | In Press |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:208165 |
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