astronomy

John Murray (professor of robotics)

John Murray (professor of 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 John Murray (professor of robotics) rather than just read about it. In short: John Christopher Murray (born June 1978) is Professor of Robotics and the Academic Dean for the Faculty of Technology at the University of Sunderland, he was previously Professor of Autonomous Systems and Head of Computer Science at the University of Hull. He was previously at the University of Lincoln.

Key takeaways

John Murray (professor of 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 John Murray (professor of robotics) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of John Murray (professor of robotics) from memory before moving on to harder problems.

Reference excerpt

John Christopher Murray (born June 1978) is Professor of Robotics and the Academic Dean for the Faculty of Technology at the University of Sunderland, he was previously Professor of Autonomous Systems and Head of Computer Science at the University of Hull. He was previously at the University of Lincoln. He received his BSc from Aberystwyth University and his PhD from the University of Sunderland. Murray has spent the majority of his academic career working in the field of robotics, notably in Human–robot interaction where he has developed several models of interaction processes to allow for Humans and Robots to work alongside one another, particularly in how Cognitive bias play a role in this interaction.

Selected publications Atanbori J, Dickinson P, Duan W, Murray J, Appiah K and Shaw E, "Automatic classification of bird species using Computer Vision techniques", Pattern Recognition Letters (2016) Biswas M and Murray J, "The Effects of Cognitive Biases and Imperfectness in Long-term Robot-Human Companionship: Case Studies using Five biases on Humanoid Robot", Cognitive Systems Research (2016) Biswas M and Murray J, "Can Cognitive biases in Robots make more ‘Likeable’ Human-Robot Interactions than the Robots without such Biases: Case Studies using Five Biases on Humanoid Robot", International Journal of Artificial Life Research (2017) Frohnwieser A, Pike T, Murray J and Wilkinson A, "Lateralised eye use towards video stimuli in bearded dragons", Animal Behaviour and Cognition, ISSN 2372-5052 (2017) Frohnwieser A, Pike T, Murray J and Wilkinson A, "Perception of artificial conspecifics by Bearded Dragons (Pogona Vitticeps)", Integrative Zoology (2018)

References

External links University of Sunderland. "Dean of Faculty of Technology". Retrieved 15 February 2022. "John Christopher Murray - PhD - Computational Robotics - University of Hull, Kingston upon Hull - School of Engineering and Computer Science". ResearchGate.net. Retrieved 23 December 2018. Kleinecke-Bates, Iris (January 2009). "Hull Repository". Visual Culture in Britain. 10 (1). doi:10.1080/14714780802686340. S2CID 191457620. Retrieved 23 December 2018. University of Hull. "British Science Festival Dinner 2018". YouTube. Retrieved 23 December 2018.

Illustrations

Worked examples

Example 1 — a first encounter with John Murray (professor of robotics)

Start with the simplest possible case. Write down what John Murray (professor of 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 John Murray (professor of 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 John Murray (professor of 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 John Murray (professor of robotics)

In research: John Murray (professor of 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 John Murray (professor of 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: John Murray (professor of robotics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1978 births, 21st-century British scientists, Academics of the University of Hull, so understanding it makes those chapters shorter.
In everyday life: Look for John Murray (professor of 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 John Murray (professor of robotics) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what John Murray (professor of 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 John Murray (professor of robotics) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is John Murray (professor of robotics) in simple terms?

Why does John Murray (professor of 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 John Murray (professor of 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 John Murray (professor of robotics).