astronomy

National Centre for Nuclear Robotics

National Centre for Nuclear Robotics is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand National Centre for Nuclear Robotics rather than just read about it. In short: National Centre for Nuclear Robotics (NCNR) is a science and engineering research consortium of eight universities in the UK led by the University of Birmingham, aiming to develop technologies to address the problem of nuclear waste in the UK. As part of the initiative NCNR is developing technologies such as machine vision, artificial intelligence and advanced robotics to decommission 4.9 million tonnes of nuclear w…

Key takeaways

National Centre for Nuclear Robotics belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect National Centre for Nuclear Robotics to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of National Centre for Nuclear Robotics from memory before moving on to harder problems.

Reference excerpt

National Centre for Nuclear Robotics (NCNR) is a science and engineering research consortium of eight universities in the UK led by the University of Birmingham, aiming to develop technologies to address the problem of nuclear waste in the UK. As part of the initiative NCNR is developing technologies such as machine vision, artificial intelligence and advanced robotics to decommission 4.9 million tonnes of nuclear waste generated by the nuclear industry in the country over the past since the early 1950s.

Overview NCNR was launched in 2018 and the University of Birmingham obtained £42 million in funding, co-funded by the Engineering and Physical Sciences Research Council, to establish it. The consortium of the eight universities consists of the University of Birmingham, University of Bristol, University of Edinburgh, Lancaster University, University of Essex, Queen Mary University of London, University of Lincoln and University of the West of England. As of 2018, Rustam Stolkin is the Director of NCNR. The research team at the University of Birmingham studied the motive behind robots executing tasks like humans in order to safely work alongside people. The team consisted of Valerio Ortenzi, Marco Controzzi, Francesca Cini, Juxi Leitner, Matteo Bianchi, Maximo A Roa, Peter Corke. This research was published in Nature Machine Intelligence journal. Lancaster University aims to develop computing system software to make the robots semi-autonomous, which will simplify human control done remotely due to the highly radioactive environments surrounding nuclear waste in which the robots operate. The researchers at the Lancaster University developed a mobile robotic system consisting of imaging software and a Microsoft Kinect camera added to it with two manipulating arms, making it easier to identify, grasp and cut objects such as metal pipes, commonly found in nuclear decommissioning sites. The research team consisted of Manuel Bandala, Craig West, Stephen Monk, Allahyar Montazeri, and James Taylor, and the research was published in MDPI Robotics journal. As part of the consortium, the University of Essex aims to research the effects of radiation on the electronics of robotic systems and develop new methodologies to increase the resilience of hardware and software of the electronics systems, and to provide resilience and robustness against radiation damage. The work is an active collaboration between the consortium partners and NASA Jet Propulsion Laboratory. The researchers at the University of Essex developed a methodology named SoCodeCNN to bridge the gap between natural language processing and computer vision using convolutional neural networks, aiming to increase the resilience of the electronics systems hardware and software against radiation damage. The research team behind the development of SoCodeCNN is led by Klaus McDonald-Maier and consisted of Somdip Dey, Amit Kumar Singh and Dilip Kumar Prasad. SoCodeCNN was highlighted as the most popular paper in the IEEE Access journal after publication. The University of Lincoln is developing vision-guided self-learning mobile robots. The aim of the research team at the University of Lincoln is to build systems which can use machine learning to adapt to the unique conditions of nuclear sites contaminated by radiation. The research team is led by Gerhard Neumann. As part of the consortium, University of Bristol developed specially-equipped drones using remote-sensing lidar to map the most radioactive places in the Chernobyl's Red Forest.

See also Nuclear waste Artificial intelligence

References

External links Official website

Worked examples

Example 1 — a first encounter with National Centre for Nuclear Robotics

Start with the simplest possible case. Write down what National Centre for Nuclear Robotics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to National Centre for Nuclear Robotics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about National Centre for Nuclear Robotics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of National Centre for Nuclear Robotics

In research: National Centre for Nuclear Robotics appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses National Centre for Nuclear Robotics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: National Centre for Nuclear Robotics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Artificial intelligence laboratories, College and university associations and consortia in the United Kingdom, Engineering university associations and consortia, so understanding it makes those chapters shorter.
In everyday life: Look for National Centre for Nuclear Robotics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study National Centre for Nuclear Robotics in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what National Centre for Nuclear Robotics means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain National Centre for Nuclear Robotics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is National Centre for Nuclear Robotics in simple terms?

Why does National Centre for Nuclear Robotics matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study National Centre for Nuclear Robotics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on National Centre for Nuclear Robotics.