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Archive for November, 2008

Nvidia Launches Tesla Personal Supercomputer

Posted by admin On November - 26 - 2008

Desktop supercomputers became a reality today as Nvidia announced the release of its new GPU-based Tesla personal supercomputer. Nvidia and its partners have announced today the availability of the new GPU-based Tesla personal supercomputer. The Tesla personal supercomputer is claimed to offer up to 250 times the performance of a standard PC or workstation, yet remains small enough to sit on an office desk and plug into a standard power strip. The Tesla personal supercomputer is made possible in part to Nvidia’s CUDA parallel computing architecture, where GPUs and CPUs work in tandem to greatly enhance the performance of complex, data-intensive computations.

Nvidia Launches Tesla Personal Supercomputer nvidia tesla sc 01

At the heart of the new Tesla personal supercomputer are three or four Nvidia Tesla C1060 computing processors, which appear similar to a high-performance Nvidia graphics card, but without any video output ports. Each Tesla C1060 has 240 streaming processor cores running at 1.296 GHz, 4 GB of 800 MHz 512-bit GDDR3 memory and a PCI Express x16 system interface. While typically using only 160-watts of power, each card is capable of 933 GFlops of single precision floating point performance or 78 GFlops of double precision floating point performance.

While the Tesla C1060 computing processors are powerful, they have a massively-parallel architecture that may have trouble with serial computing modes. The Tesla personal supercomputer also features a powerful Intel or AMD quad-core processor, which is another important component of the system, especially when dealing with these serial computing modes. The Tesla personal supercomputer includes at least 4 GB of system memory per included Tesla C1060 card and at least a 1200- to 1350-watt power supply. System noise is rated at less than 45 dbA and the supported operating systems include Windows XP, Red Hat and SUSE.

It is pretty clear that the Tesla personal supercomputer is not designed for PC gaming, but rather for highly computational research and professional work. Ideal types of applications for this system would likely include the processing of large sets of consistent data, such as transcoding a DVD or studying seismic activity. The GPU-based Tesla Personal Supercomputer is now available from retail HPC OEMs, system builders and resellers, including Dell, Asus, Western Scientific and Microway. Prices vary depending on configuration, but expect to pay around $10,000 for your own personal supercomputer.

http://www.tomshardware.com/news/Nvidia-Tesla-Supercomputer,6616.html

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IBM to build brain-like computers

Posted by admin On November - 24 - 2008

IBM has announced it will lead a US government-funded collaboration to make electronic circuits that mimic brains. Part of a field called “cognitive computing”, the research will bring together neurobiologists, computer and materials scientists and psychologists. As a first step in its research the project has been granted $4.9m (£3.27m) from US defence agency Darpa. The resulting technology could be used for large-scale data analysis, decision making or even image recognition.

IBM to build brain like computers ibm brain pc

“The mind has an amazing ability to integrate ambiguous information across the senses, and it can effortlessly create the categories of time, space, object, and interrelationship from the sensory data,” says Dharmendra Modha, the IBM scientist who is heading the collaboration.

“There are no computers that can even remotely approach the remarkable feats the mind performs,” he said.

“The key idea of cognitive computing is to engineer mind-like intelligent machines by reverse engineering the structure, dynamics, function and behaviour of the brain.”

‘Perfect storm’

IBM will join five US universities in an ambitious effort to integrate what is known from real biological systems with the results of supercomputer simulations of neurons. The team will then aim to produce for the first time an electronic system that behaves as the simulations do.

The longer-term goal is to create a system with the level of complexity of a cat’s brain.

Prof Modha says that the time is right for such a cross-disciplinary project because three disparate pursuits are coming together in what he calls a “perfect storm”. We are going not just for a homerun, but for a homerun with the bases loaded – Dharmendra Modha, IBM Almaden Research Center

Neuroscientists working with simple animals have learned much about the inner workings of neurons and the synapses that connect them, resulting in “wiring diagrams” for simple brains.

Supercomputing, in turn, can simulate brains up to the complexity of small mammals, using the knowledge from the biological research. Modha led a team that last year used the BlueGene supercomputer to simulate a mouse’s brain, comprising 55m neurons and some half a trillion synapses.

“But the real challenge is then to manifest what will be learned from future simulations into real electronic devices – nanotechnology,” Prof Modha said.

Technology has only recently reached a stage in which structures can be produced that match the density of neurons and synapses from real brains – around 10 billion in each square centimetre.

Networking

Researchers have been using bits of computer code called neural networks that seek to represent connections of neurons. They can be programmed to solve a particular problem – behaviour that appears to be the same as learning. But this approach is fundamentally different.

“The issue with neural networks and artificial intelligence is that they seek to engineer limited cognitive functionalities one at a time. They start with an objective and devise an algorithm to achieve it,” Prof Modha says.

“We are attempting a 180 degree shift in perspective: seeking an algorithm first, problems second. We are investigating core micro- and macro-circuits of the brain that can be used for a wide variety of functionalities.”

The problem is not in the organisation of existing neuron-like circuitry, however; the adaptability of brains lies in their ability to tune synapses, the connections between the neurons.

Synaptic connections form, break, and are strengthened or weakened depending on the signals that pass through them. Making a nano-scale material that can fit that description is one of the major goals of the project.

“The brain is much less a neural network than a synaptic network,” Modha says.

First thought

The fundamental shift toward putting the problem-solving before the problem makes the potential applications for such devices practically limitless.

Free from the constraints of explicitly programmed function, computers could gather together disparate information, weigh it based on experience, form memory independently and arguably begin to solve problems in a way that has so far been the preserve of what we call “thinking”.

“It’s an interesting effort, and modelling computers after the human brain is promising,” says Christian Keysers, director of the neuroimaging centre at University Medical Centre Groningen. However, he warns that the funding so far is likely to be inadequate for such an large-scale project.

That the effort requires the expertise of such a variety of disciplines means that the project is unprecedented in its scope, and Dr Modha admits that the goals are more than ambitious.

“We are going not just for a homerun, but for a homerun with the bases loaded,” he says.

Story from BBC NEWS:

http://news.bbc.co.uk/go/pr/fr/-/2/hi/science/nature/7740484.stm

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The Myth of Multitasking

Posted by admin On November - 20 - 2008

In one of the many letters he wrote to his son in the 1740s, Lord Chesterfield offered the following advice: “There is time enough for everything in the course of the day, if you do but one thing at once, but there is not time enough in the year, if you will do two things at a time.” To Chesterfield, singular focus was not merely a practical way to structure one’s time; it was a mark of intelligence. “This steady and undissipated attention to one object, is a sure mark of a superior genius; as hurry, bustle, and agitation, are the never-failing symptoms of a weak and frivolous mind.”

The Myth of Multitasking myth multitasking 01 608x400

In modern times, hurry, bustle, and agitation have become a regular way of life for many people—so much so that we have embraced a word to describe our efforts to respond to the many pressing demands on our time: multitasking. Used for decades to describe the parallel processing abilities of computers, multitasking is now shorthand for the human attempt to do simultaneously as many things as possible, as quickly as possible, preferably marshalling the power of as many technologies as possible.

In the late 1990s and early 2000s, one sensed a kind of exuberance about the possibilities of multitasking. Advertisements for new electronic gadgets—particularly the first generation of handheld digital devices—celebrated the notion of using technology to accomplish several things at once. The word multitasking began appearing in the “skills” sections of résumés, as office workers restyled themselves as high-tech, high-performing team players. “We have always multitasked—inability to walk and chew gum is a time-honored cause for derision—but never so intensely or self-consciously as now,” James Gleick wrote in his 1999 book Faster. “We are multitasking connoisseurs—experts in crowding, pressing, packing, and overlapping distinct activities in our all-too-finite moments.” An article in the New York Times Magazine in 2001 asked, “Who can remember life before multitasking? These days we all do it.” The article offered advice on “How to Multitask” with suggestions about giving your brain’s “multitasking hot spot” an appropriate workout.

But more recently, challenges to the ethos of multitasking have begun to emerge. Numerous studies have shown the sometimes-fatal danger of using cell phones and other electronic devices while driving, for example, and several states have now made that particular form of multitasking illegal. In the business world, where concerns about time-management are perennial, warnings about workplace distractions spawned by a multitasking culture are on the rise. In 2005, the BBC reported on a research study, funded by Hewlett-Packard and conducted by the Institute of Psychiatry at the University of London, that found, “Workers distracted by e-mail and phone calls suffer a fall in IQ more than twice that found in marijuana smokers.” The psychologist who led the study called this new “infomania” a serious threat to workplace productivity. One of the Harvard Business Review’s “Breakthrough Ideas” for 2007 was Linda Stone’s notion of “continuous partial attention,” which might be understood as a subspecies of multitasking: using mobile computing power and the Internet, we are “constantly scanning for opportunities and staying on top of contacts, events, and activities in an effort to miss nothing.”

Dr. Edward Hallowell, a Massachusetts-based psychiatrist who specializes in the treatment of attention deficit/hyperactivity disorder and has written a book with the self-explanatory title CrazyBusy, has been offering therapies to combat extreme multitasking for years; in his book he calls multitasking a “mythical activity in which people believe they can perform two or more tasks simultaneously.” In a 2005 article, he described a new condition, “Attention Deficit Trait,” which he claims is rampant in the business world. ADT is “purely a response to the hyperkinetic environment in which we live,” writes Hallowell, and its hallmark symptoms mimic those of ADD. “Never in history has the human brain been asked to track so many data points,” Hallowell argues, and this challenge “can be controlled only by creatively engineering one’s environment and one’s emotional and physical health.” Limiting multitasking is essential. Best-selling business advice author Timothy Ferriss also extols the virtues of “single-tasking” in his book, The 4-Hour Workweek.

Multitasking might also be taking a toll on the economy. One study by researchers at the University of California at Irvine monitored interruptions among office workers; they found that workers took an average of twenty-five minutes to recover from interruptions such as phone calls or answering e-mail and return to their original task. Discussing multitasking with the New York Times in 2007, Jonathan B. Spira, an analyst at the business research firm Basex, estimated that extreme multitasking—information overload—costs the U.S. economy $650 billion a year in lost productivity.

Changing Our Brains
To better understand the multitasking phenomenon, neurologists and psychologists have studied the workings of the brain. In 1999, Jordan Grafman, chief of cognitive neuroscience at the National Institute of Neurological Disorders and Stroke (part of the National Institutes of Health), used functional magnetic resonance imaging (fMRI) scans to determine that when people engage in “task-switching”—that is, multitasking behavior—the flow of blood increases to a region of the frontal cortex called Brodmann area 10. (The flow of blood to particular regions of the brain is taken as a proxy indication of activity in those regions.) “This is presumably the last part of the brain to evolve, the most mysterious and exciting part,” Grafman told the New York Times in 2001—adding, with a touch of hyperbole, “It’s what makes us most human.”

It is also what makes multitasking a poor long-term strategy for learning. Other studies, such as those performed by psychologist René Marois of Vanderbilt University, have used fMRI to demonstrate the brain’s response to handling multiple tasks. Marois found evidence of a “response selection bottleneck” that occurs when the brain is forced to respond to several stimuli at once. As a result, task-switching leads to time lost as the brain determines which task to perform. Psychologist David Meyer at the University of Michigan believes that rather than a bottleneck in the brain, a process of “adaptive executive control” takes place, which “schedules task processes appropriately to obey instructions about their relative priorities and serial order,” as he described to the New Scientist. Unlike many other researchers who study multitasking, Meyer is optimistic that, with training, the brain can learn to task-switch more effectively, and there is some evidence that certain simple tasks are amenable to such practice. But his research has also found that multitasking contributes to the release of stress hormones and adrenaline, which can cause long-term health problems if not controlled, and contributes to the loss of short-term memory.

In one recent study, Russell Poldrack, a psychology professor at the University of California, Los Angeles, found that “multitasking adversely affects how you learn. Even if you learn while multitasking, that learning is less flexible and more specialized, so you cannot retrieve the information as easily.” His research demonstrates that people use different areas of the brain for learning and storing new information when they are distracted: brain scans of people who are distracted or multitasking show activity in the striatum, a region of the brain involved in learning new skills; brain scans of people who are not distracted show activity in the hippocampus, a region involved in storing and recalling information. Discussing his research on National Public Radio recently, Poldrack warned, “We have to be aware that there is a cost to the way that our society is changing, that humans are not built to work this way. We’re really built to focus. And when we sort of force ourselves to multitask, we’re driving ourselves to perhaps be less efficient in the long run even though it sometimes feels like we’re being more efficient.”

If, as Poldrack concluded, “multitasking changes the way people learn,” what might this mean for today’s children and teens, raised with an excess of new entertainment and educational technology, and avidly multitasking at a young age? Poldrack calls this the “million-dollar question.” Media multitasking—that is, the simultaneous use of several different media, such as television, the Internet, video games, text messages, telephones, and e-mail—is clearly on the rise, as a 2006 report from the Kaiser Family Foundation showed: in 1999, only 16 percent of the time people spent using any of those media was spent on multiple media at once; by 2005, 26 percent of media time was spent multitasking. “I multitask every single second I am online,” confessed one study participant. “At this very moment I am watching TV, checking my e-mail every two minutes, reading a newsgroup about who shot JFK, burning some music to a CD, and writing this message.”

The Kaiser report noted several factors that increase the likelihood of media multitasking, including “having a computer and being able to see a television from it.” Also, “sensation-seeking” personality types are more likely to multitask, as are those living in “a highly TV-oriented household.” The picture that emerges of these pubescent multitasking mavens is of a generation of great technical facility and intelligence but of extreme impatience, unsatisfied with slowness and uncomfortable with silence: “I get bored if it’s not all going at once, because everything has gaps—waiting for a website to come up, commercials on TV, etc.” one participant said. The report concludes on a very peculiar note, perhaps intended to be optimistic: “In this media-heavy world, it is likely that brains that are more adept at media multitasking will be passed along and these changes will be naturally selected,” the report states. “After all, information is power, and if one can process more information all at once, perhaps one can be more powerful.” This is techno-social Darwinism, nature red in pixel and claw.

Other experts aren’t so sure. As neurologist Jordan Grafman told Time magazine: “Kids that are instant messaging while doing homework, playing games online and watching TV, I predict, aren’t going to do well in the long run.” “I think this generation of kids is guinea pigs,” educational psychologist Jane Healy told the San Francisco Chronicle; she worries that they might become adults who engage in “very quick but very shallow thinking.” Or, as the novelist Walter Kirn suggests in a deft essay in The Atlantic, we might be headed for an “Attention-Deficit Recession.”

Paying Attention
When we talk about multitasking, we are really talking about attention: the art of paying attention, the ability to shift our attention, and, more broadly, to exercise judgment about what objects are worthy of our attention. People who have achieved great things often credit for their success a finely honed skill for paying attention. When asked about his particular genius, Isaac Newton responded that if he had made any discoveries, it was “owing more to patient attention than to any other talent.”

William James, the great psychologist, wrote at length about the varieties of human attention. In The Principles of Psychology (1890), he outlined the differences among “sensorial attention,” “intellectual attention,” “passive attention,” and the like, and noted the “gray chaotic indiscriminateness” of the minds of people who were incapable of paying attention. James compared our stream of thought to a river, and his observations presaged the cognitive “bottlenecks” described later by neurologists: “On the whole easy simple flowing predominates in it, the drift of things is with the pull of gravity, and effortless attention is the rule,” he wrote. “But at intervals an obstruction, a set-back, a log-jam occurs, stops the current, creates an eddy, and makes things temporarily move the other way.”

To James, steady attention was thus the default condition of a mature mind, an ordinary state undone only by perturbation. To readers a century later, that placid portrayal may seem alien—as though depicting a bygone world. Instead, today’s multitasking adult may find something more familiar in James’s description of the youthful mind: an “extreme mobility of the attention” that “makes the child seem to belong less to himself than to every object which happens to catch his notice.” For some people, James noted, this challenge is never overcome; such people only get their work done “in the interstices of their mind-wandering.” Like Chesterfield, James believed that the transition from youthful distraction to mature attention was in large part the result of personal mastery and discipline—and so was illustrative of character. “The faculty of voluntarily bringing back a wandering attention, over and over again,” he wrote, “is the very root of judgment, character, and will.”

Today, our collective will to pay attention seems fairly weak. We require advice books to teach us how to avoid distraction. In the not-too-distant future we may even employ new devices to help us overcome the unintended attention deficits created by today’s gadgets. As one New York Times article recently suggested, “Further research could help create clever technology, like sensors or smart software that workers could instruct with their preferences and priorities to serve as a high tech ‘time nanny’ to ease the modern multitasker’s plight.” Perhaps we will all accept as a matter of course a computer governor—like the devices placed on engines so that people can’t drive cars beyond a certain speed. Our technological governors might prompt us with reminders to set mental limits when we try to do too much, too quickly, all at once.

Then again, perhaps we will simply adjust and come to accept what James called “acquired inattention.” E-mails pouring in, cell phones ringing, televisions blaring, podcasts streaming—all this may become background noise, like the “din of a foundry or factory” that James observed workers could scarcely avoid at first, but which eventually became just another part of their daily routine. For the younger generation of multitaskers, the great electronic din is an expected part of everyday life. And given what neuroscience and anecdotal evidence have shown us, this state of constant intentional self-distraction could well be of profound detriment to individual and cultural well-being. When people do their work only in the “interstices of their mind-wandering,” with crumbs of attention rationed out among many competing tasks, their culture may gain in information, but it will surely weaken in wisdom.

http://www.thenewatlantis.com/publications/the-myth-of-multitasking

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The Future of Robots

Posted by admin On November - 5 - 2008

Engineers built humanoid robots that can recognize objects by color by processing information from a camera mounted on the robot’s head. The robots are programmed to play soccer, with the intention of creating a team of fully autonomous humanoid robots able to compete against a championship human team by 2050. They have also designed tiny robots to mimic the communicative “waggle dance” of bees.

A world of robots may seem like something out of a movie, but it could be closer to reality than you think. Engineers have created robotic soccer players, bees and even a spider that will send chills up your spine just like the real thing.

They’re big … they’re strong … they’re fast! Your favorite big screen robots may become a reality.

Powered by a small battery on her back, humanoid robot Lola is a soccer champion.

“The idea of the robot is that it can walk, it can see things because it has a video camera on top,” Raul Rojas, Ph.D., professor of artificial intelligence at Freie University in Berlin, Germany, told Ivanhoe.

Using the camera mounted on her head, Lola recognizes objects by color. The information from the camera is then processed in this microchip, which activates different motors.

“And using this camera it can locate objects on the floor for example a red ball, go after the ball and try to score a goal,” Dr. Rojas said. A robot with a few tricks up her sleeve.

German engineers have also created a bee robot. Covered with wax so it’s not stung by others, it mimics the ‘waggle’ dance — a figure eight pattern for communicating the location of food and water.

“Later what we want to prove is that the robot can send the bees in any decided direction using the waggle dance,” Dr. Rojas said.

Robots like this could one day become high-tech surveillance tools that secretly fly and record data … and a robot you probably won’t want to see walking around anytime soon? The spider-bot.

ABOUT ROBOTICS: Robots are made of roughly the same components as human beings: a body structure with moveable joints; a muscle system outfitted with motors and actuators to move that body structure; a sensory system to collect information from the surrounding environment; a power source to activate the body; and a computer “brain” system to process sensory information and tell the muscles what to do. Robots are manmade machines intended to replicate human and animal behavior. Roboticists can combine these basic elements with other technological innovations to create some very complex robotic systems. There are plenty of robots doing manual work on factory assembly lines, but while those machines can manipulate objects, they do the same thing, along the same path, every time. Other robots are designed to play soccer, or to drive vehicles without human input.

ABOUT A.I.: Robots and computer networks are always evolving intelligent consciousness in popular science fiction. But while modern scientists have made great strides in building computers that can mimic logical thought, they still haven’t cracked the code of human emotion and consciousness. There are two prevailing schools of thought on artificial intelligence. Proponents of “strong AI” consider that all human thought can be broken down into a set of mathematical operations. They expect that they will one day be able to replicate the human mind and create a robot capable of both thinking and feeling, with a sense of self — the stuff of classic science fiction. Think of the robot Number Five from the 80s movie Short Circuit, who suddenly realized, frightened, that he could be “disassembled” by the scientists who made him. “Weak AI” proponents expect that human thought and emotion can only be simulated by computers. A computer might seem intelligent, but it is not aware of what it is doing, with no sense of self or consciousness.

http://www.sciencedaily.com/videos/2008/0707-the_future_of_robots.htm

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Intel predicts singularity by 2048

Posted by admin On November - 2 - 2008

Intel’s chief technology officer, Justin Rattner, had his eye firmly fixed on the future at the Intel Developer Forum in San Francisco.

In his closing keynote speech Rattner said that Ray Kurzweil’s concept of ‘the Singularity’, a point when human and artificial intelligence merges to create something bigger than itself, could be just 40 years away.

Rattner described some emerging technologies that sound like they come out of science fiction movies, including shape shifting, programmable matter, neural interfaces that allow applications to be controlled by the human mind, and advanced robots that seem almost human.

Rattner believes that these sort of advances could be less than half a lifetime away because of the way that technology is advancing at an exponential rate.

The way that these new technologies could be put to use will mark a fundamental change in the way that humans relate to machines.

For example programmable materials called catoms could be used to create cell phones that can expand in size when you take them out of your pocket.

This can be achieved because the catoms, or ‘claytronics atoms’ have sensors, processors, and electromagnetic components which control how far apart the catoms are from each other.

Computing power is another area that looks set to leap to another level, with advances in spintronics, quantum computing, and carbon nanotubes.

No doubt some of the technologies will fall by the wayside, but then who knows what will replace them. The future certainly looks interesting.

http://www.techwatch.co.uk/2008/08/22/intel-predicts-singularity-by-2048/

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Real-life robots obey Asimov’s laws

Posted by admin On November - 1 - 2008

European researchers have developed technology enabling robots to obey Asimov’s golden rules of robotics: to do no harm to humans and to obey them. Issac Asimov, widely regarded as the spiritual father of science fiction, outlined three rules that all robots in his future worlds must obey. The most important two were: a robot may not injure a human being or, through inaction, allow a human being to come to harm; and a robot must obey orders given to it by human beings, except where such orders would conflict with the First Law.

However, robotics in the real world has trouble striking a workable balance between these two requirements. Robots can perform tasks efficiently in controlled environments away from humans, or they can interact with humans if properly equipped with sensors to avoid any harm. But that degree of ‘sensing’ also creates complexity and a lack of robustness to hardware and software failures which, in turn, affects safety. Of course, robots could be safe if they move slowly enough, or work far away enough from humans – but then, their dexterity and effectiveness are dramatically reduced.

“Despite the scenarios science fiction has been depicting for decades of concrete human-robot interactions, we are still a long way from that reality,” says Antonio Bicchi of the University of Pisa’s Faculty of Engineering. “Most robots today can only work safely if segregated from humans, or if they move very slowly. The trade-off between safety and performance is the name of the game in physical human-machine interactions.”

Building solid Phriendships
Bicchi coordinates the EU-funded Phriends project to create a new generation of robots which is both intrinsically safe and versatile enough to interact with humans. “The most revolutionary and challenging feature of Phriends is designing and building robots capable of guaranteeing safety in physical human-robot interactions (pHRI),” the robotics specialist explains.

For Phriends, safety means ensuring no accidents occur, even in the event of programming bugs, sensor glitches, or hardware and software failure. But creating a robot that is both completely safe and can perform useful functions requires what Bicchi calls a “paradigm shift” in approach.

This involved going back to the drawing board and rethinking how robots are designed and function. “The classical robotics approach is to design and build robots with a specific task in mind,” Bicchi notes. “The robots developed by Phriends will be intrinsically safe, since the safety is guaranteed by their very physical structure, and not by external sensors or algorithms that can fail.”

The project has worked on developing new actuators – the devices which move and control the robot – concepts and prototypes; new dependable algorithms for supervision and planning; as well as new control algorithms for handling safe human-robot physical interactions. These components are then integrated into functionally meaningful subsystems, and evaluated and tested empirically. The project is also contributing to ongoing international efforts to establish new standards for collaborative human-robot operation.

Flexing design muscle
Before we get carried away at the idea of having android friends and colleagues working beside us at the office or even at home, it should be pointed out that Phriends is taking what could be described as a one limb at a time approach.

The project’s main focus is on robot arms and the partners have turned to nature for inspiration in developing a prototype Variable Stiffness Actuator (VSA). Just as human and animal muscles move in opposite directions to move limbs, the VSA achieves simultaneous control of the robot arm by using two motors antagonistically to manipulate a non-linear spring which acts as an elastic transmission between each of the motors and the moving part.

One of the Phriends partners, the E Piaggio Centre for Robotics and Bioengineering at the University of Pisa (IT) has developed a second version of the VSA which uses a more sophisticated antagonistic concept to move robot joints directly.

“This approach makes the robot arm lighter because its structure is ‘soft’ when the robot moves fast and can collide with humans, and it becomes ‘hard’, or tensed, when performing tasks requiring precision,” describes Bicchi.

Crash courses in safety
Phriends, which received more than €2 million in funding from the EU’s Sixth Framework Programme for research, has followed both a proactive and reactive approach to accidents. It has designed its robots to anticipate potential collisions with humans and avoid them. But in the unpredictable world we live in accidents will happen, and collisions may occur anywhere along the arm.

Two of the project’s partners – DLR in Germany and the University of Rome in Italy – have developed an ingenious solution which, like humans, relies on ‘proprioception’ to determine the relative position of neighbouring components using special sensors. Such ‘self-awareness’ enables the robot to react promptly to collisions or crashes and resume safe operations.

But even a rapid correction may be no good if the robot is heavy and solid, as industrial arms traditionally are. Phriends has explored a number of ways to make impacts gentler, including lightweight robot design, soft visco-elastic covering on the links, and mechanically decoupling the heavy motor inertia from the link inertia.

Shockingly complex simplicity
In the greater scheme of things, Phriends is one small step for robotics, but one massive leap for pHRI. “The real challenge for the future of robotics is not to do something shockingly complex, but to do even simple things in a way that is safe, dependable, and acceptable to ordinary people, thus making human-robot coexistence possible,” remarks Bicchi. “The economic impact of safe and dependable robots in manufacturing is huge in terms of simplifying plant layouts, increasing the productivity of workers and machines, and for overall competitiveness.”

The project has already elicited industry interest. Germany’s Kuka Robotics, one of the world’s leading manufacturers of industrial robots, is a partner in Phriends. Kuka will release a new robot arm in 2008 which incorporates some features developed by Phriends.

Outside the EU, companies in Japan and South Korea, which are also working on similar technologies, have contacted Phriends requesting their assistance in developing new technologies and products.

The technology the project has developed also has potential applications in other fields, including in sports training and physical rehabilitation.

http://cordis.europa.eu/ictresults/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/90001

source: ICT Results

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