Category: cs4fn issues

Emotional glasses

Image by Km Nazrul Islam from Pixabay

It’s fun to add emoticons to messages, and they help ensure people understand our feelings. They are helping some people understand feelings face-to-face too, with a bit of help from an Artificial Intelligence.

Reading faces

We take it for granted that we can look at someone’s face and tell whether they are happy or sad, angry or surprised. Autistic children, however, often struggle to understand people’s expressions. When anxious we also all tend to avoid eye contact. Some autistic children do that all the time. They are then even less likely to see the clues in people’s faces, and so start to understand emotions. This can make it harder to make friends.

From robots to glasses

Many hi-tech ways have been tried to help autistic children learn about emotions. One, for example, involves letting them play with robot ‘friends’ as some find the cartoon-like expressions on a robot face more comfortable and easier to follow. A different approach is based on wearable technology. Researchers at Stanford University have created a program for autistic children that works out a person’s expression and displays an emoticon of it in a pair of smart glasses.

An AI reading faces for you

A camera in the glasses records what the wearer sees and the Artificial Intelligence (AI) program detects any faces. This kind of technology is also used in smartphones to detect faces in your photo collection. It uses ‘machine learning’: the program learns what a face is by being shown lots of images, some with and some without faces. The program uses all that data to work out the patterns in an image that mean there is a face. It then uses that pattern to spot new faces.

In a similar way it can be trained on faces with different expressions. A training set of faces are used that are labelled with the emotion in that image. This allows the program to spot what pattern in a face makes a happy face, what makes a sad face, and so on. Having recognised an expression, the glasses finally act as a screen and show an emoticon, such as a smiley, corresponding to that expression. Superimposing digital images on the real world like this is called augmented reality. It makes looking at faces like a game and means that the child can use the emoticon to understand what the person in front of them is feeling. It also means they can start to learn for themselves – almost like the AI! The AI is labelling the faces for them, just as people had done for it. With the glasses, autistic children can be sure what each face is actually saying rather than having to guess. Eventually they might then form their own rules and so do it on their own.

Making a difference

The Stanford system was trialled with autistic children in their own homes. They used the system for several months and their parents found it made a clear difference. By the end many of the children were engaging much more with their family including making a lot more eye contact.

Emoticons are making a real difference to their lives.

– Paul Curzon, Queen Mary University of London

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Moons, maths and mystical maidens

A QMUL astronomy banner with the Moon behind it
Credit: Jo Brodie – under a Public Domain CC0 licence

Heavens above, you’ve discovered a new celestial object! What would you call it? Would you name it Clom, Skaro, Poosh, or even Raxacoricofallapatorius? Or maybe those names are already taken. This sort of thing is complicated – even when it comes to naming new planets, moons or asteroids there are rules, and the need for a bit of computer science too.

It’s not Spock

Asteroids start off being designated using the year and the month they were first detected. Only once their orbit has been correctly predicted can they then be named. Predicting the orbit needs a cosmic fusion of astronomy, physics and lots of computer processing to predict and then check they are where they should be. Choosing a name is not too easy either. Since 1971 when one astronomer named an asteroid ‘2309 Mr. Spock’ after his pet cat, the International Astronomical Union decided to ban pets’ names, but that didn’t stop some creative discoverers getting the names ‘6042 Cheshirecat’ and ‘9007 James Bond’ agreed.

Over the moon

Moons are more difficult to name – more rules apply and more physics and computer science are needed to show they are what they are. A moon not only has to orbit a planet, it must do it in a well-defined way. For example the Cassini probe that’s exploring Saturn and its wonderful ring system discovered a range of small moons that keep the rings of Saturn crisp. Some of these tiny ‘shepherd moons’ orbit near the edges of the gaps in the rings. Materials that drift close to them are pulled back by gravity into the rings, spun off into space or made to crash on the shepherd moon itself. To be able to name one of these moons you need to be able to show that its orbit is stable. When the scientists think they have found a moon, the data from the sensors on the Cassini probe is fed into sophisticated computer simulations to show if that moon has a stable orbit. The outcome of the calculation decides if the moon is, well, a moon.

Good Moon Hunting

The software can even hunt down and find unknown moons. Using the laws of geometry and Kepler’s laws of planetary motion (three rules that German astronomer Johannes Kepler discovered in the 16th century) and applying them to the data from the probe it‘s possible to guess where a moon might be. Scientists then perform a full analysis of the data, including whether the possible moon’s orbit is affected by other known moons, and are able to determine where the previously unknown moons actually are. Using this method, scientists have even discovered so-called retrograde moons, which orbit in the opposite direction to Saturn’s rotation.

Once the orbit is predicted and checked the computer-discovered moon can be named. The scientists have now found so many of these mini-moons that the rules about names have had to change.

More giants and monsters please

To start with the moons of Saturn were named after mythological Greek and Roman giants, but as more were discovered astronomers went over to naming them after the mythical Titans, who fought alongside the giants (and were pretty huge themselves). Finally as more moon hunting showed an ever larger and more fascinating picture the names had to expand to include giants and monsters in Norse, Inuit and Gallic mythologies. Astronomer Carl Murray of Queen Mary, University of London, part of the team who discovered the Saturnian moons Polydeuces and Anthe said “I never thought that a knowledge of ancient mythologies would help me do astronomy”. Quite where this moon-related voyage of discovery will end no one quite knows.

Galileo was the first to observe
Saturn’s rings though he had no
idea what they were. He wrote in his
notebook that the planet had ‘ears’.

Knowing the neighbourhood

Finding moons and keeping an eye on asteroids is an activity that involves astronomers, physicists and computer scientists. Without these scientists all working together, each bringing their skills to work on the problem, our solar system could be a less well-known and more dangerous place to live. We know where things are, after all. We don’t want to end up like Poosh and loose a moon.

Out of the way

Computer science also allows the paths of asteroids to be predicted, which is what’s needed to name them. More importantly these computer models can predict if the asteroids will cut across Earth’s orbit. We don’t want to be unexpectedly hitting one of these lumps, even if the idea makes for a good movie.

Paul Curzon, Queen Mary University of London

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Looking inside medicine – computer scientists in the body

Medical scanner image from Bethesda naval medical center, Maryland via Pixabay

Computer scientists are helping doctors, surgeons, biologists and psychologists get inside the body and mind, and improving the way that medical care will be provided now and in the future. It’s a fascinating story of biology, maths and computing and it all starts with an X.

What a picture!

X-rays were the first practical method of examining the inside of a living body. The process involves firing high energy X-rays through the body with a photographic plate at the other side. Dense bits of the body like bones absorb radiation. That leads to a lighter area on the developed photographic negative. In effect a shadow is cast through you onto the photograph, giving a view inside. A problem with this is that, as with any camera, it’s hard to get the photograph exposure right. Worse you have to find the space to store hundreds and thousands of sheets of film. Worse still, suppose your doctor in Manchester needs the X-ray taken of you when you are wanting to play football so you are in Frankfurt. The film has to be sent by post. Enter computer scientists to make things easier.

Portable pixel pictures

New digital X-ray systems are being developed. These use X-ray detectors not film and produce digital images rather than the standard photographic images. The advantage here is that those images can be processed using clever algorithms to correct for problems in exposure, or even to pick up particular shapes in the image. The diagnosis can be helped by the artificial intelligence in the computer, which can spot unusual patterns in the image and alert the doctor. Better still since these digital X-rays are computer based. They can be easily stored and transmitted throughout the world to places where they are needed.

A slice of life

X-rays, even digital X-rays, can only give you flat images of the body innards. Like a shadow they squash all the depth details. Your insides are three-dimensional (3D) though, so it would be useful to be able to slice through your body and get a view inside. This is possible using a computer based method called tomography, from the Greek tomos (slice) and graphia (describing). It still uses X-rays but in a Computed Tomography (CT) scan the X-ray source and the detector rotate round the body taking lots of images at different angles. It’s like casting different shadows as the sun moves round you. So imagine you’re using tomography on a cylinder, and your X-ray source is a torch. Move the torch round the cylinder and look at the shadow cast on a piece of paper moving at the opposite side to the torch. Each ‘shadow’ picture would look the same because a cylinder is circularly symmetric. Now imagine a more interesting shape. Each of the shadow pictures would depend on where you were at the time in relation to the shape. With some clever maths, a reconstruction algorithm and a computer you can go from the shadow pictures back to the shape. These shapes are the organs and innards of your body, and they can be recorded in their full 3D glory. There are now systems that spiral the X-ray source round the body making it quicker. You can even do tomography at very high speed allowing slices through the beating heart to be calculated. Interestingly the maths behind this technology, called the “Radon transform” after Czech mathematician Johann Radon (1887-1956), was developed purely as an abstract mathematical theory. No one at the time could see any use for it!

Check in at the Digital Hospital

Life-saving healthcare and medical imaging is going digital. Using video conferencing, mobile scanners and even remote operated robotic surgery the field of tele-medicine allows expert medical care to be provided any time, any place. Today’s progress towards the digital hospital combines different ways of taking information about the state of your body, such as digital X-rays, or tomographic images, readings from digital thermometers or digital blood pressure readers. We can combine all this information with your personal information into one big file, so there is no need for multiple paper copies to get out of date or lost. The hospital information system keeps track of all your data, and also importantly who has access to it.

Tomorrow’s world and you

According to Alan McBride, a computer scientist who is working on these state of the art medical systems:

“This technology is a major step forward in health care where the UK is leading the way. The government’s grand scheme will allow images taken in Newcastle to be shown on your GP’s desk in London, together with the hospital report, which will automatically be emailed to their inbox. Computer science is playing the major role in all this, creating new ways to aid clinical practice, with plenty of scope in the future for talented computer scientists to get involved.”

The computer scientists who make this happen will not only be technical specialists but also experts in understanding human behaviour. We will only get the benefits such a grand scheme promises if the conflicting needs and concerns of all those involved are taken into account: patients, nurses, doctors, managers and politicians…that will take major people-skills.

Paul Curzon, Queen Mary University of London

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As Easy As A Bee Sees

A bee sitting on the leaves of a blossom tree in Blackheath
Bee on blossom by Jodiepedia, Public Domain Dedication (CC0) via Flickr.

If it weren’t for the bees we would be in trouble. In the worst case, life on Earth could go the way of Mars. No plants, no animals, no life. Bees are the main way that flowers get pollinated. As the bees sup the nectar they carry pollen from flower to flower, allowing new generations of flowers to grow. But the way a flower looks to our eyes isn’t the same way a bee sees it. For example, bee vision works into the ultraviolet part of the spectrum and under the correct lighting in a laboratory the wonderful, normally invisible, patterns that bees can see are revealed. Biologists all over the world have been collecting information about the sorts of patterns that particular flowers display. This display is called a spectral profile, and Samia Faruq, a computer science undergraduate at Queen Mary University of London has done her bit to help these scientists peer into the world of the bees.

Her project involved creating a massive online database containing worldwide spectral profile information, so scientists can search this information easily. They can also combine information to help discover new facts using a method called clustering, where the computer pulls together all the data with similar properties.

Samia enjoyed the project: “I met and worked with amazing biologists during the project. It was great to find out what they needed and to be able to create it for them. I got the chance to collaborate and publish material together with them too. To know it will be used in their research is also very rewarding.”

Peter W McOwan, Queen Mary University of London

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The glove that controls your cords…

Image by Stefan Schweihofer from Pixabay

Ariana Grande, has added something new to her sell out stadium tours. She is controlling her vocals using gloves. Yep, gloves! To add reverb to her voice, Ariana pinches her thumb and forefinger. She changes background sounds by a sweep of the hand.

Imogen Heap, a Grammy award winning UK recording artist with a passion for technology, is behind the gesture control gloves that Florida born pop diva Ariana is wowing audiences across the world with.

Using technology to augment and change vocals is not new, sound engineers with banks of buttons and sliders have manipulated and improved performances for years, but now the artist can do it for themselves, using wearable tech with with bluetooth to control their sounds live.

So puff out your chest, robin and hear the humans notch up the sound gymnastics, we are not just limited to our vocal cords. Have a go at making wearables that control sound yourself. Maybe try Sonic Pi with a BBC micro:bit and search for the BBC’s ‘Strictly micro:bit live lesson’ for more on making your own wearable tech.

Jane Waite, QMUL / Raspberry Pi

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How do you sleep? (Like a parrot or a tortoise?) #Fitbit

A brown bear sleeps, resting its head on its paw.
Image by Pixamio from Pixabay

Google’s Fitbit is a smart wristwatch which doesn’t just tell you the time but can also monitor your movements and your heart beat. A particular time of day when your heart beat slows down and you move much less is at night when you’re fast asleep in bed. 

Not everyone sleeps well though. Some people struggle to get to sleep and then wake up often during the night and so they feel tired during the day. The FitBit’s “Sleep Profiles” is an AI-supported sleep tracking tool (available to Premium subscribers) that may be able to help them. If the sleeper regularly wears their watch in bed it can monitor their sleep and build up a picture of how long it takes them to fall asleep, how often they wake up and offer some suggestions on how to get a better night’s rest. 

So far Google has analysed 22 billion hours of sleep data from Fitbit users (who all agree to share their information so that they and everyone else can benefit from that shared knowledge). They used unsupervised machine learning to find out more about the data. This method gives an artificial intelligence lots of information but doesn’t tell it what to do with it. Instead they asked the AI to cluster groups of data together for the scientists to analyse and interpret. The result was six clusters of data showing the most common different ways that people sleep. 

To make it easy for users to understand what the data meant, and how closely their own sleep pattern matched one of the clusters, Fitbit named each cluster after an animal. They took a bit of care over selecting animals to use as they wanted people to have more positive associations (no one wants to be called a sloth for example!) and came up with bear 🐻 tortoise 🐢dolphin 🐬giraffe 🦒parrot 🦜and hedgehog 🦔. People’s ‘sleep animals’ don’t stay the same though (just like our sleep) and you might be a dolphin one month and a tortoise the next. Tortoise-sleepers spend longer in bed but also take longer to fall asleep, and dolphin-sleepers sleep very lightly and tend to spend more time awake in bed.

Elena Perez, one of the product managers for Fitbit, said that parents of little children had told her that they’d seen the icon of the sleeping animal appear on their parents’ watch and knew that it was time to go to bed. Sweet dreams…

Did you know?

Dolphins and many birds use ‘unihemispheric sleep’ which means that one half of their brain (like humans their brains are also divided into two hemispheres) falls asleep first and the other stays awake. Then the hemispheres swap over!

Jo Brodie, Queen Mary University of London

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The art of animatronics, or how to build a believable dinosaur

Tyrannosaurus image by Eric Labayle from Pixabay

How do you create a full-sized dinosaur without a hint of computer graphics? The answer is through the amazing art of animatronics. Animatronics is a field of special effects that uses sculpture, mechanics, electronics and computer engineering to create life-size moving creatures for films and theme parks. They’re like puppets only much bigger, much smarter and much scarier. While today many film creatures are created using computer graphics in post-production, some filmmakers prefer to have their creatures ‘live’ on the set so the human actors have a real co-star to act along with. In a theme park, animatronics can put a weird creature, like a zombie pirate or a great white shark, right there and in your face. Famous movie animatronics stars include the shark in Jaws, the gigantic Spinosaurus in Jurassic Park III and the lovable alien in ET. How are these amazing effects created? Let’s get primeval with some state-of-the-art computer science.

On and off the drawing board

An animatronic creature starts out in life as a sketch on the drawing board. In some cases it’s a new creature-tastic idea thought up by the designer. In the case of dinosaurs, the sketches are created with the help of expert paleontologists. The sketches are then converted into a scale model, called a maquette. This scale model allows the designers to examine and correct their design plans before the big money is spent bringing the creature to full size ‘life’.

Growing up

Here’s where the model goes from the small to the large. The mini maquette is laser scanned, capturing all the detail of the model sculpture and feeding it into a computer aided design (CAD) software package. From this data whirring, computer-controlled blades automatically sculpt a full sized model using blocks of polyurethane foam. The blocks are assembled like a big 3D jigsaw, and sculptors add the extra fine detail. Now it’s big, it’s real and it’s ready for its screen test!

Pouring in the skin

If the full-sized version shows that star quality, it gets molded. Using the life-size model a set of moulds are made to allow the outside skin of the creature to be created. With the outside finished, now you have to think about the insides – namely, the skeleton, the mechanics of which depend on how the creature will be expected to move. Using a rough shape corresponding to the form of the core skeleton innards, the outer foam rubber skin can be poured in so that it only fills the negative space between the outside creature shape and in the inside skeleton. This reduces the weight of the skin and allows more believable, flexible movements.

More than just the bare bones

Skin done, now the technology really kicks in. The animatronics skeleton inside the creature is where all the smart stuff happens. It’s clever and custom made. It has to be – it’s the part that moves the outside skin to make it look believable. Attached around the main skeleton frame, which is often built with strong-but- light graphite and looks a lot like the real creature’s skeleton, we find the actuators. These are little clumps of clever computing that move the pieces around to make the creature look alive. Computer science abounds here, along with other state-of-the-art techniques. Mechanical and electronic engineering combined with computer-controlled motors are used to move small expressive bits like eyes, or to control the more heavy-duty hydraulic systems that move limbs. The systems may be pre-programmed for characteristic behaviours like blinking or swiping a claw. In essence the animatronics under the skin produce a gigantic remote controlled lifelike puppet for the director to play with.

Does my bum look big in this?

Putting the skin over the animatronics isn’t always easy. As each of the sections of foam rubber skin are added to the skeleton the construction team needs to check that the new bit of skin added doesn’t look too stretched, or too baggy with lots of unsightly flabby folds. One cunning way to help the image conscious creature is to use elastic bungee cords to connect areas of the skin to the frame. These act like tendons under the skin, stretching and bunching when it moves, and making the whole effect more relaxed and natural. Once the skin is on, it’s a quick paint job and the creature is ready for its close up. Action – grrrr -– shriek! Computer science takes centre stage.

Paul Curzon, Queen Mary University of London

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The Decline and Fall of Ada: Who’s popular now?

Audience image by Pexels from Pixabay

Ada (the language), is not the big player on the programming block these days. In 1997 the DoD1 cancelled their rule that you had to use Ada when working for them. Developers in commerce had always found Ada hard to work with and often preferred other languages. There are hundreds of other languages used in industry and by researchers. How many can you name?

Here are some fun clues about different languages. Can you work out their names?
(Answers at the end.)

  1. A big snake that will squash you dead.
  2. A famous Victorian woman who worked with Babbage.
  3. A, B, __
  4. A, B, __ (ouch)
  5. A precious, but misspelled, thing inside a shell.
  6. A tiny person chatting.
  7. A beautiful Indonesian island.
  8. A french mathematician and inventor famous for triangles.

(You can try an online version of our quiz here)

Today, the most popular programming languages are, well we don’t know, because it depends when you are reading this! Because what is fashionable, what is new is always changing. Plus it’s hard to agree what ‘the most popular’ means for languages (and pop stars!). Is it the most lines of code in use today? The favorite language of developers? The language everyone is learning? In July 2015 one particular website rated programing languages using features such as number of skilled software engineers who can use the language; number of courses to learn the language; search engine queries on the language and came up with the order.

  • 1) Java
  • 2) C
  • 3) C++
  • 4) C#
  • 5) Python

Where is Ada? 30th out of 100s! The same website had shown Ada (the language) as 3rd top in 1985! What a fall from grace.

But have no fear, Ada still survives and lives on in millions of lines of avionics2, radar systems, space, shipboard, train, subway, nuclear reactors and DoD systems. Plus Ada is perhaps making a comeback. Ada 2012 is just being finalised, heralded by some as the next generation of engineering software with its emphasis on safety, security and reliability. So Ada meet Ada, it looks like you will be remembered and used for a long time still.

Github is a place where lots of programmers now develop and save their code. It encourages programmers to share their work. A kind of modern day, crowd sourced ‘mass of shared facts’ but coders would probably not say they did this just to ‘amuse their idle hours’. Popular coding tools on this platform are JavaScript. Java, Python, CSS, PHP, Ruby, C++. Ada doesn’t really feature, well not yet.

Jane Waite, Queen Mary University of London

  1. United States Department of Defense ↩︎
  2. Avionics (aviation electronics) includes all the electronics and software needed to fly aircraft safely. ↩︎

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This article was originally published on page 19 of issue 20 of the CS4FN magazine. You can download a copy at the link below, and all of our previous magazine issues (free) here.

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Answers to the quiz…

Answers: 1) Python 2) Ada 3) C 4) C# (C sharp) 5) Perl 6) Smalltalk 7) Java 8) Pascal

Victorian volunteers needed – the start of citizen science

Barnacles
Barnacles image by Mark Martins from Pixabay

What was Ada Lovelace thinking about when she wrote:
“If amateurs of either sex would amuse their idle hours with experiments on this subject, and would keep an accurate journal of their daily observations, we should have in a few years a mass of registered facts to compare with the observation of the scientific”.

Yes, crowdsourcing science experiments! Now we call it Citizen Science. She had just read a book by a Baron von Reichenbach on magnetism in which he had suggested a whole host of experiments, such as moving magnets up and down a person’s body, showing people magnets in the dark, and holding heavy and light magnets and asking them if they felt any sensations. She could see that he had some great ideas, but she was not convinced by his examples alone.

Ada was not the only Victorian to ask the general public for help collecting data. Charles Darwin, the Origin of Species man, wrote to gardeners, diplomats, army officers and scientists across the world asking for information about the plants they grew and the animals (including people) they saw. This all helped him build up the concrete evidence that natural selection was the way evolution works. People even sent him gifts of live animals in the post. A Danish gentleman sent him a parcel of live barnacles. When they did not arrive on time, Darwin, desperate to dissect the species, panicked and got ready to offer a reward in the Times newspaper. Luckily they arrived intact, fresh and not too smelly!

Today we might take part in the RSPB’s Big Garden Bird Watch1, contribute to a blog, ‘favourite’ or ‘like’ a post on social media or vote for your favorite performer in a talent show. We participate, and ‘amuse our idle hours’ sometimes in the pursuit of science, sometimes not. Public research is a big new topic, with governments and companies looking to use people power. Innovations such as shared mapping systems ask users to upload details about a place, add photographs, rectify mistakes. Wikipedia is sourced by volunteers, with other volunteers checking accuracy. Galaxy Zoo volunteers even found a whole new planet that orbits four stars!

What would Ada be asking us to research? Test your own DNA and send in the results? Measure air quality and keep a record on a central database? Build your own ‘find a barnacle’ app? But rather than writing a journal or sending a parcel of barnacles, you would log it on line, click a link or design your own survey. Ada’s computers are in on the act again.

Why not find a Citizen Science project on something you are interested in. Sometimes called public science or science outreach projects they might be run by local universities, museums, your council, charities or through crowdsourced internet projects such as www.zooniverse.org. Share what you do with others and spread Ada’s word to be a modern day volunteer.

Jane Waite, Queen Mary University of London

  1. 23-25 January 2026: RSPB Big Garden Birdwatch – “Spend an hour watching the birds in your patch, between 23 and 25 January, and record the birds t allhat land.” You can also get your school involved in the Big School’s Birdwatch 2026. If you’re reading this after 25 January 2026 make a note in your diary to remind you to check next year! ↩︎

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This article was originally published on page 13 of issue 20 of the CS4FN magazine. You can download a copy at the link below, and all of our previous magazine issues (free) here.

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A wearable robot – computer-powered exoskeletons

A blue beetle
Blue beetle image by Clker-Free-Vector-Images from Pixabay

Beetles are one of the most prolific species on the planet. As the famous geneticist J.B.S. Haldane is supposed to have said: God has an inordinate fondness for beetles. One of the reasons they are so successful is that, unlike us, their skeleton is outside their body, not inside! This kind of skeleton is called an exoskeleton. Humans are now trying to get in on the act. In the computer science version exoskeletons are robots that you wear.

Animal shells

All sorts of animals have evolved all sorts of different exoskeletons. We call the big ones shells. Many insects, like beetles, have exoskeletons. So do crabs, scorpions, snails and clams. Tortoises are particularly interesting as they have both an internal skeleton, like us, and a shell too.

Animals use exoskeletons for lots of reasons. Most obviously it protects them from predators. It can also help stop them drying out in the sun, and stop them getting wet in the rain. They are used by some animals for sensing the world, and help animals like locusts to jump. Some tortoises and armadillos use them for digging and other animals use them to feed. It’s not surprising, with so many uses that there are a lot of them about.

Human shells

Generally, exoskeletons seem like a pretty good idea! So it’s not surprising that we humans want them too. A suit of armour is actually just a simple version of an exoskeleton designed to protect a knight from ‘predators’. It’s not much different to a tortoise protected inside its shell. The difference to the ones humans make now is our modern exoskeletons are powered and controlled by computers. They really are a robot you wear. They react to your movements.

As with animals’ shells, powered exoskeletons help humans do all sorts of things, not just act as armour. By being powered they give us extra strength, allowing us to lift weights far heavier than we could otherwise, and can turn our small movements in to larger ones. That means they can, for example, help people who have problems moving about to walk (see ‘The Wrong Trousers’) or help nurses lift patients in and out of bed. They are used by surgeons to do operations when they are in a different place to the patient, removing the shakiness of their hands, and by rescue workers working in dangerous situations. There are even ones designed to help astronauts exercise in space. They make movement harder rather than easier to force them to exercise despite the lower gravity.

All in all, copying beetles, but with our own computing twist, seems like a pretty good idea.

Paul Curzon, Queen Mary University of London

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