A Suite of Robotic Solutions for Nuclear Waste Decommissioning

Author:

Vitanov Ivan,Farkhatdinov IldarORCID,Denoun Brice,Palermo Francesca,Otaran Ata,Brown JoshuaORCID,Omarali Bukeikhan,Abrar Taqi,Hansard Miles,Oh Changjae,Poslad StefanORCID,Liu Chen,Godaba Hareesh,Zhang Ketao,Jamone LorenzoORCID,Althoefer Kaspar

Abstract

Dealing safely with nuclear waste is an imperative for the nuclear industry. Increasingly, robots are being developed to carry out complex tasks such as perceiving, grasping, cutting, and manipulating waste. Radioactive material can be sorted, and either stored safely or disposed of appropriately, entirely through the actions of remotely controlled robots. Radiological characterisation is also critical during the decommissioning of nuclear facilities. It involves the detection and labelling of radiation levels, waste materials, and contaminants, as well as determining other related parameters (e.g., thermal and chemical), with the data visualised as 3D scene models. This paper overviews work by researchers at the QMUL Centre for Advanced Robotics (ARQ), a partner in the UK EPSRC National Centre for Nuclear Robotics (NCNR), a consortium working on the development of radiation-hardened robots fit to handle nuclear waste. Three areas of nuclear-related research are covered here: human–robot interfaces for remote operations, sensor delivery, and intelligent robotic manipulation.

Funder

EPSRC National Centre for Nuclear Robotics

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

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