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UK financial grant for research to develop self-learning robots to decommission nuclear waste

Lincoln University 4th May 2018 , Researchers have secured £1.1 million in grant funding to develop
artificial intelligence systems to enable self-learning robots to be
deployed in place of humans to hazardous nuclear sites.

It is estimated that up to £200 billion will be spent on the clean-up and decommissioning
of nuclear waste over the next 100 years.

Now, a team of computer scientists from the University of Lincoln will create machine learning
algorithms to increase capabilities in several crucial areas of nuclear
robotics, including waste handling, cell decommissioning and site
monitoring with mobile robots.

Machine learning is an application of artificial intelligence (AI) which enables systems to collect data and use
it to inform automated decision-making and make improvements based on
experience without being explicitly programmed.

The Lincoln team will create algorithms for vision-guided robot grasping, manipulation and
cutting, mobile robot navigation, and outdoor mapping and navigation. The
aim is to build systems which can use machine learning to adapt to the
unique conditions of nuclear sites, including locations contaminated by

The Lincoln project is part of the National Centre for Nuclear
Robotics (NCNR), a multi-disciplinary EPSRC RAI (Robotics and Artificial
Intelligence) Hub led by the University of Birmingham, and also involves
Queen Mary University of London, the University of West England, University
of Bristol, University of Edinburgh, and Lancaster University.


May 5, 2018 - Posted by | decommission reactor, technology, UK

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