Nuclear decommissioning risk management adopting a comprehensive artificial intelligence framework: An applied case in an Italian site

Mancini, Mauro; Mariani, Costanza; Manfredi, Carmine  Mattia

doi:10.1016/j.pnucene.2023.104589

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…Nuclear facilities are required to undergo frequent Inspection, Maintenance and Repair (IMR) activities to ensure safe processes throughout a facility. At the end of their life‐cycle, such facilities undergo strict decommissioning protocols due to the hazardous nature of handling nuclear materials [1]. For example, in Sellafield Ltd. (Seascale, West Cumbria, UK), the Post Operational Clean Out (POCO) programme was established to ensure the consistency in the processes that support both site operations and nuclear decommissioning [2].…”

Section: Introductionmentioning

confidence: 99%

Lessons learned: Symbiotic autonomous robot ecosystem for nuclear environments

Mitchell,

Emor Baniqued,

Zahid

et al. 2023

IET Cyber-Syst and Robotics

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Nuclear facilities have a regulatory requirement to measure radiation levels within Post Operational Clean Out (POCO) around nuclear facilities each year, resulting in a trend towards robotic deployments to gain an improved understanding during nuclear decommissioning phases. The UK Nuclear Decommissioning Authority supports the view that human‐in‐the‐loop (HITL) robotic deployments are a solution to improve procedures and reduce risks within radiation characterisation of nuclear sites. The authors present a novel implementation of a Cyber‐Physical System (CPS) deployed in an analogue nuclear environment, comprised of a multi‐robot (MR) team coordinated by a HITL operator through a digital twin interface. The development of the CPS created efficient partnerships across systems including robots, digital systems and human. This was presented as a multi‐staged mission within an inspection scenario for the heterogeneous Symbiotic Multi‐Robot Fleet (SMuRF). Symbiotic interactions were achieved across the SMuRF where robots utilised automated collaborative governance to work together, where a single robot would face challenges in full characterisation of radiation. Key contributions include the demonstration of symbiotic autonomy and query‐based learning of an autonomous mission supporting scalable autonomy and autonomy as a service. The coordination of the CPS was a success and displayed further challenges and improvements related to future MR fleets.

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Section: Introductionmentioning

confidence: 99%