Military Robots to Get a Virtual Touch

A modified game controller will give military bomb-disposal experts remote touch.

iRobot, the company that makes military robots as well as the Roomba vacuuming bot, announced last Friday that it will receive funding for several endeavors from the Robotics Technology Consortium (RTC).

One project will see the company develop controllers that give remote robot operators sensory feedback. The US military currently uses iRobot's wheeled PackBot in Iraq and Afghanistan for tasks such as bomb disposal, detecting hazardous materials and carrying equipment.

The company says that adding force sensing to a PackBot arm could give operators the ability to "feel" the weight of an object or whether it is hard or soft, via the robot's arms.

iRobot plans to use an enhanced version of the Novint Falcon haptic controller--a device designed for computer games that provides a remote sense of touch to the user.
According to the president of iRobot's Government and Industrial Robots division Joe Dyer:

"[This] would greatly improve warfighters' ability to examine and manipulate improvised explosive devices (IEDs) and reduce their time on task, ultimately keeping them safer,"

The RTC funds will also go toward developing better sniper detection and a sensing robotic head for the UGVs.

Tags: robots, army, robotics, irobot, robotic ar

Original article by the By Kristina Grifantini for MIT tech review editors

Nissan's robot cars mimic fish to avoid crashing

Nissan has developed a mini robotic car that can move autonomously in groups while avoiding crashing into obstacles (including other cars).

The Eporo, Nissan says, is the first robot car designed to move in a group by sharing its position and other information. The aim is to incorporate the technology into passenger cars to reduce accidents and traffic jams.

Although a group of Eporos may look like a gang of cybernetic Jawa, Nissan says the cars' design was inspired by the way fish move in schools.

An evolution of the bumblebee-inspired BR23C robot car unveiled last year, the Eporo uses Nissan's collision avoidance technology to travel in groups. Check out BR23C trying to get away from a Japanese lady in this video.

Eporo can dodge obstacles just like fish.

The automaker studied how large schools of fish can move without colliding. It says Eporo imitates three rules of fish movement: avoiding crashes, traveling side by side, and keeping close to other members of the school.

The robots use laser range finders and ultra-wideband radio to determine distance to obstacles. They also communicate with each other to form the most efficient group formation to maneuver through tight spots.

Eporo stands for "Episode O (Zero) Robot." That zinger of a mouthful means zero episodes, as in zero accidents and zero emissions.

Nissan intends to show off Eporo at the Ceatec trade show next week in Tokyo.

Original article by Tim Hornyak for Crave

Burst of Technology Helps Blind to See

Barbara Campbell is part of a worldwide experiment testing whether electrodes implanted in the eye can restore sight.

Blindness first began creeping up on Barbara Campbell when she was a teenager, and by her late 30s, her eye disease had stolen what was left of her sight.

Reliant on a talking computer for reading and a cane for navigating New York City, where she lives and works, Ms. Campbell, now 56, would have been thrilled to see something. Anything.

Now, as part of a striking experiment, she can. So far, she can detect burners on her stove when making a grilled cheese, her mirror frame, and whether her computer monitor is on.

She is beginning an intensive three-year research project involving electrodes surgically implanted in her eye, a camera on the bridge of her nose and a video processor strapped to her waist.

The project, involving patients in the United States, Mexico and Europe, is part of a burst of recent research aimed at one of science’s most-sought-after holy grails: making the blind see.

Some of the 37 other participants further along in the project can differentiate plates from cups, tell grass from sidewalk, sort white socks from dark, distinguish doors and windows, identify large letters of the alphabet, and see where people are, albeit not details about them.

Linda Morfoot, 65, of Long Beach, Calif., blind for 12 years, says she can now toss a ball into a basketball hoop, follow her nine grandchildren as they run around her living room and “see where the preacher is” in church.

“For someone who’s been totally blind, this is really remarkable,” said Andrew P. Mariani, a program director at the National Eye Institute. “They’re able to get some sort of vision.”

Scientists involved in the project, the artificial retina, say they have plans to develop the technology to allow people to read, write and recognize faces.

Advances in technology, genetics, brain science and biology are making a goal that long seemed out of reach — restoring sight — more feasible.

“For a long time, scientists and clinicians were very conservative, but you have to at some point get out of the laboratory and focus on getting clinical trials in actual humans,” said Timothy J. Schoen, director of science and preclinical development for the Foundation Fighting Blindness. Now “there’s a real push,” he said, because “we’ve got a lot of blind people walking around, and we’ve got to try to help them.”

More than 3.3 million Americans 40 and over, or about one in 28, are blind or have vision so poor that even with glasses, medicine or surgery, everyday tasks are difficult, according to the National Eye Institute, a federal agency. That number is expected to double in the next 30 years. Worldwide, about 160 million people are similarly affected.

“With an aging population, it’s obviously going to be an increasing problem,” said Michael D. Oberdorfer, who runs the visual neuroscience program for the National Eye Institute, which finances several sight-restoration projects, including the artificial retina. Wide-ranging research is important, he said, because different methods could help different causes of blindness.

The approaches include gene therapy, which has produced improved vision in people who are blind from one rare congenital disease. Stem cell research is considered promising, although far from producing results, and other studies involve a light-responding protein and retinal transplants.

Others are implanting electrodes in monkeys’ brains to see if directly stimulating visual areas might allow even people with no eye function to see.

And recently, Sharron Kay Thornton, 60, from Smithdale, Miss., blinded by a skin condition, regained sight in one eye after doctors at the University of Miami Miller School of Medicine extracted a tooth (her eyetooth, actually), shaved it down and used it as a base for a plastic lens replacing her cornea.

It was the first time the procedure, modified osteo-odonto-keratoprosthesis, was performed in this country. The surgeon, Dr. Victor L. Perez, said it could help people with severely scarred corneas from chemical or combat injuries.

Other techniques focus on delaying blindness, including one involving a capsule implanted in the eye to release proteins that slow the decay of light-responding cells. And with BrainPort, a camera worn by a blind person captures images and transmits signals to electrodes slipped onto the tongue, causing tingling sensations that a person can learn to decipher as the location and movement of objects.

Ms. Campbell’s artificial retina works similarly, except it produces the sensation of sight, not tingling on the tongue. Developed by Dr. Mark S. Humayun, a retinal surgeon at the University of Southern California, it drew on cochlear implants for the deaf and is partly financed by a cochlear implant maker.

It is so far being used in people with retinitis pigmentosa, in which photoreceptor cells, which take in light, deteriorate.

Gerald J. Chader, chief scientific officer at the University of Southern California’s Doheny Retinal Institute, where Dr. Humayun works, said it should also work for severe cases of age-related macular degeneration, the major cause of vision loss in older people.

Go -->here<-- to read the rest of the original article from New York Times

It's tempting to call them lords of the flies. For the first time, researchers have controlled the movements of free-flying insects from afar, as if t

Green beetles

The Berkeley team implanted electrodes into the brain and muscles of two species: green June beetles called Cotinus texana from the southern US, and the much larger African species Mecynorrhina torquata. Both responded to stimulation in much the same way, but the weight of the electronics and their battery meant that only Mecynorrhina – which can grow to the size of a human palm – was strong enough to fly freely under radio control.

A particular series of electrical pulses to the brain causes the beetle to take off. No further stimulation is needed to maintain the flight. Though the average length of flights during trials was just 45 seconds, one lasted for more than 30 minutes. A single pulse causes a beetle to land again.

The insects' flight can also be directed. Pulses sent to the brain trigger a descent, on average by 60 centimetres. The beetles can be steered by stimulating the wing muscle on the opposite side from the direction they are required to turn, though this works only three-quarters of the time. After each manoeuvre, the beetles quickly right themselves and continue flying parallel to the ground.

Brain insights

Tyson Hedrick, a biomechanist at the University of North Carolina, Chapel Hill, who was not involved in the research, says he is surprised at the level of control achieved, because the controlling impulses were delivered to comparatively large regions of the insect brain.

Precisely stimulating individual neurons or circuits may harness the beetles more precisely, he told New Scientist, but don't expect aerial acrobatics. "It's not entirely clear how much control a beetle has over its own flight," Hedrick says. "If you've ever seen a beetle flying in the wild, they're not the most graceful insects."

The research may be more successful in revealing just how the brain, nerves and muscles of insects coordinate flight and other behaviours than at bringing six-legged cyborg spies into service, Hedrick adds. "It may end up helping biologists more than it will help DARPA."

Brain-recording backpacks

It's a view echoed by Reid Harrison, an electrical engineer at the University of Utah, Salt Lake City, who has designed brain-recording backpacks for insects. "I'm sceptical about their ability to do surveillance for the following reason: no one has solved the power issue."

Batteries, solar cells and piezoelectrics that harvest energy from movement cannot provide enough power to run electrodes and radio transmitters for very long, Harrison says. "Maybe we'll have some advances in those technologies in the near future, but based on what you can get off the shelf now it's not even close."

Journal reference: Frontiers in Integrative Neuroscience, DOI: 10.3389/neuro.07.024.2009

Original article by Ewen Callaway for New Scientist

A Startup That Builds Biological Parts

Ginkgo BioWorks aims to push synthetic biology to the factory level.

In a warehouse building in Boston, wedged between a cruise-ship drydock and Au Bon Pain's corporate headquarters, sits Ginkgo BioWorks, a new synthetic-biology startup that aims to make biological engineering easier than baking bread. Founded by five MIT scientists, the company offers to assemble biological parts--such as strings of specific genes--for industry and academic scientists.

Biological parts: Ginkgo BioWorks, a synthetic-biology startup, is automating the process of building biological machines. Shown here is a liquid-handling robot that can prepare hundreds of reactions. Credit: Ginkgo BioWorks

"Think of it as rapid prototyping in biology--we make the part, test it, and then expand on it," says Reshma Shetty, one of the company's cofounders. "You can spend more time thinking about the design, rather than doing the grunt work of making DNA." A very simple project, such as assembling two pieces of DNA, might cost $100, with prices increasing from there.

Synthetic biology is the quest to systematically design and build novel organisms that perform useful functions, such as producing chemicals, using genetic-engineering tools. The field is often considered the next step beyond metabolic engineering because it aims to completely overhaul existing systems to create new functionality rather than improve an existing process with a number of genetic tweaks.

Scientists have so far created microbes that can produce drugs and biofuels, and interest among industrial chemical makers is growing. While companies already exist to synthesize pieces of DNA, Ginkgo assembles synthesized pieces of DNA to create functional genetic pathways. (Assembling specific genes into long pieces of DNA is much cheaper than synthesizing that long piece from scratch.)

Ginkgo will build on technology developed by Tom Knight, a research scientist at MIT and one of the company's cofounders, who started out his scientific career as an engineer. "I'm interested in transitioning biology from being sort of a craft, where every time you do something it's done slightly differently, often in ad hoc ways, to an engineering discipline with standardized methods of arranging information and standardized sets of parts that you can assemble to do things," says Knight.

Scientists generally create biological parts by stitching together genes with specific functions, using specialized enzymes to cut and sew the DNA. The finished part is then inserted into bacteria, where it can perform its designated task. Currently, this process is mostly done by a lab technician or graduate student; consequently, the process is slow, and the resulting construct isn't optimized for use in other projects. Knight developed a standardized way of putting together pieces of DNA, called the BioBricks standard, in which each piece of DNA is tagged on both sides with DNA connectors that allow pieces to be easily interchanged.

"If your part obeys those rules, we can use identical reactions every time to assemble those fragments into larger constructs," says Knight. "That allows us to standardize and automate the process of assembly. If we want to put 100 different versions of a system together, we can do that straightforwardly, whereas it would be a tedious job to do with manual techniques." The most complicated part that Ginkgo has built to date is a piece of DNA with 15 genes and a total of 30,000 DNA letters. The part was made for a private partner, and its function has not been divulged.

Assembling parts is only part of the challenge in building biological machines. Different genes can have unanticipated effects on each other, interfering with the ultimate function. "One of the things we'll be able to do is to assemble hundreds or thousands of versions of a specific pathway with slight variations," says Knight. Scientists can then determine which version works best.

So far, Knight says, the greatest interest has come from manufacturing companies making chemicals for cosmetics, perfumes, and flavorings. "Many of them are trying to replace a dirty chemical process with an environmentally friendly, biologically based process," he says.

Ginkgo is one of just a handful of synthetic-biology companies. Codon Devices, a well-funded startup that synthesized DNA, ceased operations earlier this year. "The challenge now is not to synthesize genes; there are a few companies that do that," says Shetty. "It's to build pathways that can make specific chemicals, such as fuels." And unlike Codon, Ginkgo is starting small. The company is funded by seed money and a $150,000 loan from Lifetech Boston, a program to attract biotech to Boston. Its lab space is populated with banks of PCR machines, which amplify DNA, and liquid-handling robots, mostly bought on eBay or from other biotech firms that have gone out of business. And the company already has a commercial product--a kit sold through New England Biolabs that allows scientists to put together parts on their own.

"If successful, they will be providing a very important service for synthetic biology," says Chris Voigt, a synthetic biologist at the University of California, San Francisco. "There isn't anybody else who would be characterizing and providing parts to the community. I think that this type of research needs to occur outside of the academic community--at either a company or a nonprofit institute."

Original article by Emily Singer for MIT Technology Review

Locust flight simulator helps robot insects evolve

Right:Smoke signals helps robots fly better (Image: Simon Walker, Animal Flight Group, Oxford University)

A LOCUST flight simulator could be the key to perfecting the ultimate surveillance machine: an artificial flying insect. The simulator can model the way wings of varying shapes and surface features beat, as well as how they change their shape during flight.

The device was created using extremely high-speed flash photography to track the way smoke particles flow over a locust's wings in a wind tunnel - a technique called particle flow velocimetry. This allowed researchers at the University of Oxford to build a computer model of the insect's wing motion. They then built software that mimicked not only this motion, but also how wing surface features, such as structural veins and corrugations, and the wings' deformation as they flap, change aerodynamic performance.

The work has shown that wings' surface structures are crucial to efficient lift generation, says lead researcher Adrian Thomas (Science, DOI: 10.1126/science.1175928).

The simulator could be a big step forward for the many teams around the world who are designing robotic insects, mainly for military purposes, though Thomas expects them to have a massive role as toys, too. "Imagine sitting in your living room doing aerial combat with radio-controlled dragonflies. Everybody would love that," he says.

Imagine sitting in your living room doing aerial combat with remote-controlled dragonflies

Until now, modelling insect wings involved building physical replicas from rigid materials and estimating how they might move from observations of insect flight. Thomas hopes the simulator will take the guesswork out of the process, especially as every flying insect has uniquely shaped wings and wing beat patterns.

Building miniature aircraft is of great interest to the armed forces. In the UK, for example, the Ministry of Defence wants to create a device that can fly in front of a convoy and detect explosives on the road ahead. In the US, the Pentagon's research arm DARPA is funding development of a "nano air vehicle" (NAV) for surveillance that it states must weigh no more than 10 grams and have only a 7.5-centimetre wingspan.

Last month, DARPA contractor AeroVironment of Monrovia, California, demonstrated the first two-winged robot capable of hovering flight (see video at http://bit.ly/18LR8U). It achieved a stable take-off and hovered for 20 seconds. Other DARPA-funded projects by Micropropulsion and Daedalus Flight Systems are also thought to have achieved hovering robotic flight this year.

"Getting stable hover at the 10-gram size scale with beating wings is an engineering breakthrough, requiring much new understanding and invention," says Ronald Fearing, a micromechanics and flight researcher at the University of California, Berkeley. "The next step will be to get the flight efficiency up so hover can work for several minutes."

But how can such machines be made more efficient? Better batteries and lighter materials will help, but most important will be improving wing structure so the aircraft more accurately imitate - or even improve upon - the way insects fly.

So how do insects fly? For a long time no one really knew. In 1919, German aeronautical engineer Wilhelm Hoff calculated that a pollen-laden bumblebee should not have enough lift to get airborne according to the rules of aerodynamics as understood at the time.

It wasn't until 1981 that Tony Maxworthy of the University of Southern California hit on a possible reason: his working model of a fly's wings, immersed in oil, showed large vortices were spinning off the leading edge of the wing as it beat (Annual Review of Fluid Mechanics, vol 13, p 329). Within the vortices air is moving at high velocity, and is therefore at low pressure, hinting at a lift-creating mechanism unlike that of conventional aircraft, in which an angled wing travelling forward deflects air downwards, creating an opposing upward force.

In 1996 Thomas was a member of Charles Ellington's team at the University of Cambridge, which identified the mechanism by which bugs created high lift forces - using a model of a hawkmoth. "We found a leading-edge vortex that was stable over the whole of the downstroke," says Thomas.

The nature of the leading-edge vortex is dependent on the size of the wings, their number, the pattern described by the beating wing and the wing structure.

This work has laid the foundations for researchers such as Robert Wood and his team at Harvard University, who are investigating ways to make insect wings (Bioinspiration and Biomimetics, DOI: 10.1088/1748-3182/4/3/036002). They have developed a new way to build flexible wings from moulds using microchip manufacturing techniques. Using elastic polymers and elegant, vein-like supporting structures, the researchers can build wings with variable camber, and with different corrugations embossed in them, in an attempt to mimic the in-flight aerodynamics and deformation of real insect wings.

Thomas is also focusing on the way insect wings deform in flight. "If we use a wing model with all the complex curves, twists and corrugations of the real insect it is 50 per cent more efficient than a model with rigid flat-plate wings, for the same lift generation. That would be a huge saving in power for a micro air vehicle," he says.

Although the Oxford team's simulator is geared for locust wings at present, the researchers are adjusting the software to model the hoverfly - with other insect types to follow.

"What we've shown is that modern aerodynamics really can accurately model insect flight," Thomas says. "That old myth about aerodynamics not being able to model bumblebee flight really is dead now."

oRIGINAL ARTICLE WRITTEN BY pAUL mARKS FOR nEW sCIENTIST

Stimulating Sight: Retinal Implant Could Help Restore Useful Level Of Vision To Certain Groups Of Blind People

Retinal Implant receives visual data from a camera mounted on a pair of glasses. The coil sends the images to a chip attached to the side of the eyeball, which processes the data and sends it to electrodes implanted below the retina. (Credit: Courtesy of Shawn Kelly)

Inspired by the success of cochlear implants that can restore hearing to some deaf people, researchers at MIT are working on a retinal implant that could one day help blind people regain a useful level of vision.

The eye implant is designed for people who have lost their vision from retinitis pigmentosa or age-related macular degeneration, two of the leading causes of blindness. The retinal prosthesis would take over the function of lost retinal cells by electrically stimulating the nerve cells that normally carry visual input from the retina to the brain.

Such a chip would not restore normal vision but it could help blind people more easily navigate a room or walk down a sidewalk.

"Anything that could help them see a little better and let them identify objects and move around a room would be an enormous help," says Shawn Kelly, a researcher in MIT's Research Laboratory for Electronics and member of the Boston Retinal Implant Project.

The research team, which includes scientists, engineers and ophthalmologists from Massachusetts Eye and Ear Infirmary, the Boston VA Medical Center and Cornell as well as MIT, has been working on the retinal implant for 20 years. The research is funded by the VA Center for Innovative Visual Rehabilitation, the National Institutes of Health, the National Science Foundation, the Catalyst Foundation and the MOSIS microchip fabrication service.

Led by John Wyatt, MIT professor of electrical engineering, the team recently reported a new prototype that they hope to start testing in blind patients within the next three years.

Electrical stimulation

Patients who received the implant would wear a pair of glasses with a camera that sends images to a microchip attached to the eyeball. The glasses also contain a coil that wirelessly transmits power to receiving coils surrounding the eyeball.

When the microchip receives visual information, it activates electrodes that stimulate nerve cells in the areas of the retina corresponding to the features of the visual scene. The electrodes directly activate optical nerves that carry signals to the brain, bypassing the damaged layers of retina.

One question that remains is what kind of vision this direct electrical stimulation actually produces. About 10 years ago, the research team started to answer that by attaching electrodes to the retinas of six blind patients for several hours.

When the electrodes were activated, patients reported seeing a small number of "clouds" or "drops of blood" in their field of vision, and the number of clouds or blood drops they reported corresponded to the number of electrodes that were stimulated. When there was no stimulus, patients accurately reported seeing nothing. Those tests confirmed that retinal stimulation can produce some kind of organized vision in blind patients, though further testing is needed to determine how useful that vision can be.

After those initial tests, with grants from the Boston Veteran's Administration Medical Center and the National Institutes of Health, the researchers started to build an implantable chip, which would allow them to do more long-term tests. Their goal is to produce a chip that can be implanted for at least 10 years.

One of the biggest challenges the researchers face is designing a surgical procedure and implant that won't damage the eye. In their initial prototypes, the electrodes were attached directly atop the retina from inside the eye, which carries more risk of damaging the delicate retina. In the latest version, described in the October issue of IEEE Transactions on Biomedical Engineering, the implant is attached to the outside of the eye, and the electrodes are implanted behind the retina.

That subretinal location, which reduces the risk of tearing the retina and requires a less invasive surgical procedure, is one of the key differences between the MIT implant and retinal prostheses being developed by other research groups.

Another feature of the new MIT prototype is that the chip is now contained in a hermetically sealed titanium case. Previous versions were encased in silicone, which would eventually allow water to seep in and damage the circuitry.

While they have not yet begun any long-term tests on humans, the researchers have tested the device in Yucatan miniature pigs, which have roughly the same size eyeballs as humans. Those tests are only meant to determine whether the implants remain functional and safe and are not designed to observe whether the pigs respond to stimuli to their optic nerves.

So far, the prototypes have been successfully implanted in pigs for up to 10 months, but further safety refinements need to be made before clinical trials in humans can begin.

Wyatt and Kelly say they hope that once human trials begin and blind patients can offer feedback on what they're seeing, they will learn much more about how to configure the algorithm implemented by the chip to produce useful vision.

Patients have told them that what they would like most is the ability to recognize faces. "If they can recognize faces of people in a room, that brings them into the social environment as opposed to sitting there waiting for someone to talk to them," says Kelly.

---

Journal reference:

1. Shire, D. B.; Kelly, S. K.; Chen , J.; Doyle , P.; Gingerich, M. D.; Cogan, S. F.; Drohan, W. A.; Mendoza, O.; Theogarajan, L.; Wyatt, J. L.; Rizzo, J. F. Development and Implantation of a Minimally Invasive Wireless Subretinal Neurostimulator. IEEE Transactions on Biomedical Engineering, October 2009 DOI: 10.1109/TBME.2009.2021401

Adapted from materials provided by Massachusetts Institute of Technology. Original article written by Anne Trafton, MIT News Office.

Video surveillance system that reasons like a human brain

BRS Labs announced a video-surveillance technology called Behavioral Analytics, which leverages cognitive reasoning, and processes visual data on a level similar to the human brain.

It is impossible for humans to monitor the tens of millions of cameras deployed throughout the world, a fact long recognized by the international security community. Security video is either used for forensic analysis after an incident has occurred, or it employs a limited-capability technology known as Video Analytics – a video-motion and object-classification-based software technology that attempts to watch video streams and then sends an alarm on specific pre-programmed events. The problem is that this legacy solution generates a great number of false alarms that effectively renders it useless in the real world.

BRS Labs has created a technology it calls Behavioral Analytics. It uses cognitive reasoning, much like the human brain, to process visual data and to identify criminal and terroristic activities. Built on a framework of cognitive learning engines and computer vision, AISight, provides an automated and scalable surveillance solution that analyzes behavioral patterns, activities and scene content without the need for human training, setup, or programming.

The system learns autonomously, and builds cognitive “memories” while continuously monitoring a scene through the “eyes” of a CCTV security camera. It sees and then registers the context of what constitutes normal behavior, and the software distinguishes and alerts on abnormal behavior without requiring any special programming, definition of rules or virtual trip lines.

AISight is currently fielded across a wide variety of global critical infrastructure assets, protecting major international hotels, banking institutions, seaports, nuclear facilities, airports and dense urban areas plagued by criminal activity.

Original article by Helpnet security

Robots get smarter by asking for help

To the right:Robot recharging itself

ASKING someone for help is second nature for humans, and now it could help robots overcome one of the thorniest problems in artificial intelligence.

That's the thinking behind a project at Willow Garage, a robotics company in Palo Alto, California. Researchers there are training a robot to ask humans to identify objects it doesn't recognise. If successful, it could be an important step in developing machines capable of operating with consistent autonomy.

Object recognition has long troubled AI researchers. While computers can be taught to recognise simple objects, such as pens or mugs, they often make mistakes when the lighting conditions or viewing angle change. This makes it difficult to create robots that can navigate safely around buildings and interact with objects, a problem Willow Garage encountered when building its Personal Robot 2 (PR2).

Where AI struggles, humans excel, finding this sort of recognition task almost effortless. So Alex Sorokin, a computer scientist at the University of Illinois at Urbana-Champaign, who collaborates with Willow Garage, decided to take advantage of this by building a system that allows PR2 to ask humans for help.

The system uses Amazon's Mechanical Turk, an online marketplace which pairs up workers with employers that have simple tasks they need completing. The robot takes a photo of the object it doesn't recognise and sends it to Mechanical Turk. Workers can then use Sorokin's software to draw an outline around an object in the image and attach a name to it, getting paid between 3 and 15 cents for each image they process.

In initial tests, the robot moved through Willow Garage's offices, sending images to be processed every few seconds. Labelled images started coming back a few minutes later. The accuracy rate was only 80 per cent, but Sorokin says this can be improved by paying other workers to verify that the responses are valid.

Sorokin believes his system will help robots learn about new environments. A cleaning robot, for example, could spend its first week in a new building taking pictures and having people label them, helping it to build up a model of the space and the objects it contained. If it got stuck, it could always ask for help again.

"This is a fantastic idea," says John Leonard, a roboticist at the Massachusetts Institute of Technology. Potentially this could allow robots to operate for long periods without direct intervention from a human operator, he adds.

The next step for the programmers is to enable PR2 to make sense of the human responses and then act upon them, Sorokin says.

Cyborg crickets could chirp at the smell of survivors

To the right: Could Modified insects be joining rescue workers in the search for survivors in the future?(Image: KPA/Zuma / Rex Features)

IF you're trapped under rubble after an earthquake, wondering if you'll see daylight again, the last thing you need is an insect buzzing around your face. But that insect could save your life, if a scheme funded by the Pentagon comes off.

The project aims to co-opt the way some insects communicate to give early warning of chemical attacks on the battlefield - the equivalent of the "canary in a coal mine". The researchers behind it say the technology could be put to good use in civilian life, from locating disaster victims to monitoring for pollution and gas leaks, or acting as smoke detectors.

Pentagon-backed researchers have already created insect cyborgs by implanting them with electrodes to control their wing muscles. The latest plan is to create living communication networks by implanting a package of electronics in crickets, cicadas or katydids - all of which communicate via wing-beats. The implants will cause the insects in these OrthopterNets to modulate their calls in the presence of certain chemicals.

"We could do this by adjusting the muscle tension or some other parameter that affects the sound-producing movements. The insect itself might not even notice the modulation," says Ben Epstein of OpCoast, who came up with the idea during a visit to China, where he heard cicadas changing calls in response to each other. The firm, which is based in Point Pleasant Beach, New Jersey, has been awarded a six-month contract to develop a mobile communications network for insects.

As well as a biochemical sensor and a device for modulating the wing muscles, the electronics package would contain an acoustic sensor designed to respond to the altered calls of other insects. This should ensure the "alarm" signal is passed quickly across the network and is ultimately picked up by ground-based transceivers.

The Pentagon's priority is for the insects to detect chemical and biological agents on the battlefield, but Epstein says they could be modified to respond to the scent of humans and thus be used to find survivors of earthquakes and other disasters.

The real challenge will be to miniaturise the electronics. "Given a big enough insect it wouldn't be a problem," says Epstein. But the company is looking at ubiquitous species such as crickets, which tend to be smaller. Each network is likely to use hundreds or thousands of insects, though they could be spread far apart: some katydids can be heard a kilometre away.

Are OrthopterNets feasible? "I don't see why not," says Peter Barnard, director of science at the Royal Entomological Society in London. "Although insects might appear to be limited by the anatomy of their sound-producing organs, we know that they can produce different signals for different purposes." Since there is already evidence of modulation within quite broad bandwidths of frequencies for communication, it might be possible to modify and exploit these abilities, he says.

Originally posted in New scientist

Japanese scientists aim to create robot-insects

Live male silkmoth is used for an experiment to create insect-machine hybrids, in Tokyo. Researchers from Tokyo University's Research Centre for Advanced Science and Technology motivate the insect to steer the vehicle left or right by using female odour.

Police release a swarm of robot-moths to sniff out a distant drug stash. Rescue robot-bees dodge through earthquake rubble to find survivors.

These may sound like science-fiction scenarios, but they are the visions of Japanese scientists who hope to understand and then rebuild the brains of insects and programme them for specific tasks.

Ryohei Kanzaki, a professor at Tokyo University's Research Centre for Advanced Science and Technology, has studied insect brains for three decades and become a pioneer in the field of insect-machine hybrids.
His original and ultimate goal is to understand human brains and restore connections damaged by diseases and accidents -- but to get there he has taken a very close look at insects' "micro-brains".

The human brain has about 100 billion neurons, or nerve cells, that transmit signals and prompt the body to react to stimuli. Insects have far fewer, about 100,000 inside the two-millimetre-wide (0.08 inch) brain of a silkmoth.

But size isn't everything, as Kanzaki points out.

Insects' tiny brains can control complex aerobatics such as catching another bug while flying, proof that they are "an excellent bundle of software" finely honed by hundreds of millions of years of evolution, he said.
For example, male silkmoths can track down females from more than a kilometre (half a mile) away by sensing their odour, or pheromone.
Kanzaki hopes to artificially recreate insect brains.
"Supposing a brain is a jigsaw-puzzle picture, we would be able to reproduce the whole picture if we knew how each piece is shaped and where it should go," he told AFP.
"It will be possible to recreate an insect brain with electronic circuits in the future. This would lead to controlling a real brain by modifying its circuits," he said.
Kanzaki's team has already made some progress on this front.
In an example of 'rewriting' insect brain circuits, Kanzaki's team has succeeded in genetically modifying a male silkmoth so that it reacts to light instead of odour, or to the odour of a different kind of moth.
Such modifications could pave the way to creating a robo-bug which could in future sense illegal drugs several kilometres away, as well as landmines, people buried under rubble, or toxic gas, the professor said.

All this may appear very futuristic -- but then so do the insect-robot hybrid machines the team has been working on since the 1990s.
In one experiment, a live male moth is strapped onto what looks like a battery-driven toy car, its back glued securely to the frame while its legs move across a free-spinning ball.
Researchers motivate the insect to turn left or right by using female odour.
The team found that the moth can steer the car and quickly adapt to changes in the way the vehicle operates -- for example by introducing a steering bias to the left or right similar to the effect of a flat tyre.
In another, more advanced, test, the team severed a moth's head and mounted it onto the front of a similar vehicle.
They then directed similar odour stimuli to the contraption which the insect's still-functioning antennae and brain picked up.
Researchers recorded the motor commands issued by nerve cells in the brain, which were transmitted to steer the vehicle in real time.
The researchers also observed which neuron responds to which stimulus, making them visible using fluorescent markers and 3-D imaging.
The team has so far obtained data on 1,200 neurons, one of the world's best collections on a single species.
Kanzaki said that animals, like humans, are proving to be highly adaptable to changing conditions and environments.
"Humans walk only at some five kilometres per hour but can drive a car that travels at 100 kilometres per hour. It's amazing that we can accelerate, brake and avoid obstacles in what originally seem like impossible conditions," he said.
"Our brain turns the car into an extension of our body," he said, adding that "an insect brain may be able to drive a car like we can. I think they have the potential.
"It isn't interesting to make a robo-worm that crawls as slowly as the real one. We want to design a machine which is far more powerful than the living body."
(c) 2009 AFP

iCub, the Toddler Robot

(PhysOrg.com) -- A little humanoid robot called iCub is learning how to think for itself, bringing the world of science fiction to reality. The major goal of the "RobotCub" project is to study how humans learn and think, using a robot with the size and brain of a toddler, but the study is also expected to have practical applications in the near future.

The robot, with its cute white face and big eyes, is designed to learn from experience and adapt to changes in its environment, just like a human child. As iCub learns, the scientists behind it hope to learn about the development of cognition in humans. According to research director Peter Ford Dominey, the goal is to understand more about the ability of humans to cooperate, work together, and understand what others want us to do.

Human intelligence develops through interaction with the environment and other human beings, and mental processes are strongly connected to the physical body and its actions. The central hypothesis of the project is therefore that the best way to model the human mind is to create a humanoid that is controlled by realistic algorithms and allowed to explore the world like a real child.
Scientists are working on several versions of iCub in laboratories throughout Europe, attempting to perfect the robot's "brain", but the birthplace of iCub is the Italian Institute of Technology (ITT) in Genoa, Italy, where the RobotCub project began in 2004 under the leadership of Giulio Sandini.

The iCub robot stands at just over three feet high, or about the size of a three year old child. Its face has just a hint of a nose and mouth, and its big eyes allow it to see and track objects in its environment. Its body consists of many electronic circuits built into articulated trunk and limbs that give it a wide range of movements. Sensors allow the robot to feel, and some iCubs can speak. In a recent experiment in Lyon, France, iCub demonstrated that it could change roles in a game. iCub watched two humans play the "game", in which one lifted up a box to reveal a toy, and the second lifted up the toy and put it down again. The first person then replaced the box over the toy. Having watched the game, iCub could take the part of either "player".

This game may sound simple enough, but such learning capabilities put iCub at the forefront of robotics research. It also raises the question of what is consciousness. If iCub understands that someone has a goal, is that consciousness? asks Dominey.

As well as the scientific advancements expected from iCub studies, the robots may well have practical uses in the future. Suggestions include playing games with hospital physiotherapy patients to help in their recovery, and in the longer term, perhaps even in the next decade, iCub could become a helper in the home, making its own decisions on what needs to be done.
The five year project is supported by the European Commission. The software is open-source and the developers are open to forming further collaborations with laboratories around the world.

September 9th, 2009 by Lin Edwards for Physorg.com

'Plasmobot': Scientists To Design First Robot Using Mould

Scientists at the University of the West of England are to design the first ever biological robot using mould.

Researchers have received a Leverhulme Trust grant worth £228,000 to develop the amorphous non-silicon biological robot, plasmobot, using plasmodium, the vegetative stage of the slime mould Physarum polycephalum, a commonly occurring mould which lives in forests, gardens and most damp places in the UK. The Leverhulme Trust funded research project aims to design the first every fully biological (no silicon components) amorphous massively-parallel robot.

This project is at the forefront of research into unconventional computing. Professor Andy Adamatzky, who is leading the project, says their previous research has already proved the ability of the mould to have computational abilities.

Professor Adamatzky explains, “Most people’s idea of a computer is a piece of hardware with software designed to carry out specific tasks. This mould, or plasmodium, is a naturally occurring substance with its own embedded intelligence. It propagates and searches for sources of nutrients and when it finds such sources it branches out in a series of veins of protoplasm. The plasmodium is capable of solving complex computational tasks, such as the shortest path between points and other logical calculations. Through previous experiments we have already demonstrated the ability of this mould to transport objects. By feeding it oat flakes, it grows tubes which oscillate and make it move in a certain direction carrying objects with it. We can also use light or chemical stimuli to make it grow in a certain direction.
“This new plasmodium robot, called plasmobot, will sense objects, span them in the shortest and best way possible, and transport tiny objects along pre-programmed directions. The robots will have parallel inputs and outputs, a network of sensors and the number crunching power of super computers. The plasmobot will be controlled by spatial gradients of light, electro-magnetic fields and the characteristics of the substrate on which it is placed. It will be a fully controllable and programmable amorphous intelligent robot with an embedded massively parallel computer.”
This research will lay the groundwork for further investigations into the ways in which this mould can be harnessed for its powerful computational abilities.
Professor Adamatzky says that there are long term potential benefits from harnessing this power, “We are at the very early stages of our understanding of how the potential of the plasmodium can be applied, but in years to come we may be able to use the ability of the mould for example to deliver a small quantity of a chemical substance to a target, using light to help to propel it, or the movement could be used to help assemble micro-components of machines. In the very distant future we may be able to harness the power of plasmodia within the human body, for example to enable drugs to be delivered to certain parts of the human body. It might also be possible for thousands of tiny computers made of plasmodia to live on our skin and carry out routine tasks freeing up our brain for other things. Many scientists see this as a potential development of amorphous computing, but it is purely theoretical at the moment.”
Professor Adamatzky has recently edited and had published by Springer, ‘Artificial Life Models in Hardware’ aimed at students and researchers of robotics. The book focuses on the design and real-world implementation of artificial life robotic devices and covers a range of hopping, climbing, swimming robots, neural networks and slime mould and chemical brains.

---

.Original article posted at science daily

Fishy Sixth Sense: Mathematical Keys To Fascinating Sense Organ

Fish and some amphibians possess a unique sensory capability in the so-called lateral-line system. It allows them, in effect, to "touch" objects in their surroundings without direct physical contact or to "see" in the dark. Professor Leo van Hermmen and his team in the physics department of the Technische Universitaet Muenchen are exploring the fundamental basis for this sensory system. What they discover might one day, through biomimetic engineering, better equip robots to orient themselves in their environments.

With our senses we take in only a small fraction of the information that surrounds us. Infrared light, electromagnetic waves, and ultrasound are just a few examples of the external influences that we humans can grasp only with the help of technological measuring devices – whereas some other animals use special sense organs, their own biological equipment, for the purpose. One such system found in fish and some amphibians is under investigation by the research team of Professor Leo van Hemmen, chair of theoretical biophysics at TUM, the Technische Universitaet Muenchen.

Even in murky waters hardly penetrated by light, pike and pickerel can feel out their prey before making contact. The blind Mexican cave fish can perceive structures in its surroundings and can effortlessly avoid obstacles. Catfish on the hunt follow invisible tracks that lead directly to their prey. The organ that makes this possible is the lateral-line system, which registers changes in currents and even smaller disturbances, providing backup support for the sense of sight particularly in dark or muddy waters.
This remote sensing system, at first glance mysterious, rests on measurement of the pressure distribution and velocity field in the surrounding water. The lateral-line organs responsible for this are aligned along the left and right sides of the fish's body and also surround the eyes and mouth. They consist of gelatinous, flexible, flag-like units about a tenth of a millimeter long. These so-called neuromasts – which sit either directly on the animal's skin or just underneath, in channels that water can permeate through pores – are sensitive to the slightest motion of the water. Coupled to them are hair cells similar to the acoustic pressure sensors in the human inner ear. Nerves deliver signals from the hair cells for processing in the brain, which localizes and identifies possible sources of the changes detected in the water's motion.
These changes can arise from various sources: A fish swimming by produces vibrations or waves that are directly conveyed to the lateral-line organ. Schooling fishes can recognize a nearby attacker and synchronize their swimming motion so that they resemble a single large animal. The Mexican cave fish pushes a bow wave ahead of itself, which is reflected from obstacles. The catfish takes advantage of the fact that a swimming fish that beats its tail fin leaves a trail of eddies behind. This so-called "vortex street" persists for more than a minute and can betray the prey.
For the past five years, Leo van Hemmen and his team have been investigating the capabilities of the lateral-line system and assessing the potential to translate it into technology. How broad is the operating range of such a sense organ, and what details can it reveal about moving objects? Which stimuli does the lateral-line system receive from the eddy trail of another fish, and how are these stimuli processed? To get to the bottom of these questions, the scientists develop mathematical models and compare these with experimentally observed electrical nerve signals called action potentials. The biophysicists acquire the experimental data – measurements of lateral-line organ activity in clawed frogs and cave fish – through collaboration with biologists. "Biological systems follow their own laws," van Hemmen says, "but laws that are universally valid within biology and can be described mathematically – once you find the right biophysical or biological concepts, and the right formula."
The models yield surprisingly intuitive-sounding conclusions: Fish can reliably fix the positions of other fish in terms of a distance corresponding to their own body length. Each fish broadcasts definite and distinguishing information about itself into the field of currents. So if, for example, a prey fish discloses its size and form to a possible predator within the radius of its body length, the latter can decide if a pursuit is worth the effort. This is a key finding of van Hemmen's research team.
The TUM researchers have discovered another interesting formula. With this one, the angle between a fish's axis and a vortex street can be computed from the signals that a lateral-line system acquires. The peak capability of this computation matches the best that a fish's nervous system can do. The computed values for nerve signals from an animal's sensory organ agree astonishingly well with the actual measured electrical impulses from the discharge of nerve cells. "The lateral-line sense fascinated me from the start because it's fundamentally different from other senses such as vision or hearing, not just at first glance but also the second," van Hemmen says. "It's not just that it describes a different quality of reality, but also that in place of just two eyes or ears this sense is fed by many discrete lateral-line organs – from 180 in the clawed frog to several thousand in a fish, each of which in turn is composed of several neuromasts. The integration behind it is a tour de force."
The neuronal processing and integration of diverse sense impressions into a unified mapping of reality is a major focus for van Hemmen's group. They are pursuing this same fundamental investation through the study of desert snakes' infrared perception, vibration sensors in scorpions' feet, and barn owls' hearing.
"Technology has overtaken nature in some domains," van Hemmen says, "but lags far behind in the cognitive processing of received sense impressions. My dream is to endow robots with multiple sensory modalities. Instead of always building in more cameras, we should also along the way give them additional sensors for sound and touch." With a sense modeled on the lateral-line system, but which would function as well in air as under water, robots might for example move safely among crowds of people. But such a system also offers many promising applications in the water. Underwater robots could use it to orient themselves during the exploration of inaccessible cave systems and deep-sea volcanoes. Autonomous submarines could also locate obstacles in turbid water. Such an underwater vehicle is currently being developed within the framework of the EU project CILIA, in collaboration with the TUM chair for guidance and control technology.
Further research includes collaborations with the excellence cluster CoTeSys (Cognition for Technical Systems) and the newly created Leonardo da Vinci Center for Bionics at TUM, as well as with the chair for humanoid robots and the Bernstein Center for Computational Neuroscience.
ScienceDaily (Aug. 30, 2009)

Robot with bones moves like you do

Video: Bony robot

YOU may have more in common with this robot than any other - it was designed using your anatomy as a blueprint.

Conventional humanoid robots may look human, but the workings under their synthetic skins are radically different from our anatomy. A team with members across five European countries says this makes it difficult to build robots able to move like we do.

Their project, the Eccerobot, has been designed to duplicate the way human bones, muscles and tendons work and are linked together. The plastic bones copy biological shapes and are moved by kite-line that is tough like tendons, while elastic cords mimic the bounce of muscle.

Mimicking human anatomy is no shortcut to success, though, as even simple human actions like raising an arm involve a complex series of movements from many of the robot's bones, muscles and tendons. However, the team is convinced that solving these problems will enable the construction of a machine that interacts with its environment in a more human manner.

Simple human actions like raising an arm involve a complex series of movements for the robot

"We want to develop these ideas into a new kind of 'anthropomimetic robot' which can deal with and respond to the world in ways closer to the ways that humans do," says Owen Holland at the University of Sussex, UK, who is leading the project.

The team also intends to endow the robot with some human-like artificial intelligence.

Holland's Sussex group are joined on the project by researchers from the Technical University of Munich, Germany; University of Zurich, Switzerland; University of Belgrade, Serbia; and French firm The Robot Studio.

Originally posted in New scientist

Robofish and microchips

Robofish and microchips - August 25, 2009

Robotic fish – probably the best small robotic fish you’ve ever seen – have been made by clever engineers at the Massachusetts Institute of Technology. You can even see a video of them doing their thing.

The fish, about 30 cm long, are ancestors of robotuna – a giant autonomous robotic fish also made at MIT in the 1990s.

The difference is that these fish are much simpler – they are small and powered by a single motor, unlike robotuna’s six motors, and made from just 10 parts. All these parts are encapsulated in a flexible rubber casing that is moved by a motor sending a wave along the body. They're small size will apparently make them more able to swim into small crevices.

And they can certainly swim well. I’m just a bit concerned about how useful they are. They're being developed apparently to go places where other autonomous robotic fish can’t go. Maybe I’m way out of touch, but I wasn’t aware that this was a major problem.

"The fish were a proof of concept application, but we are hoping to apply this idea to other forms of locomotion, so the methodology will be useful for mobile robotics research - land, air and underwater - as well," said Valdivia Y Alvarado, whose PhD thesis was devoted to the little robotic critters (press release).

But wait a minute, my scepticism may be short lived. I am behind the times after all. Only in March this year, a robotic carp was unveiled by researchers at Essex University, UK. Five of the monstrous 1.5 metre-long robotic carp are scheduled to be released into Spanish waters, equipped with chemical sensors to sniff out pollution.

The MIT group claims that fleets of their robofish could be deployed to inspect pipelines, lakes, rivers and boats. Whatever they’re used for, you can’t escape the fact that robo fish are actually quite cool. Maybe they’ll become the next rubber duckie.

Posted by Katharine Sanderson on August 25, 2009
for nature.com

A Modular Robot That Puts Itself Back Together Again

New York Times, July 27, 2009

University of Pennsylvania researchers have developed a walking robot constructed from modules that are designed to separate on impact, find each other, and reassemble into a working robot.

Read original article -->here<--- a="">