Nov 16, 2010

Robot arm punches human to obey Asimov's rules

SAAC ASIMOV would probably have been horrified at the experiments under way in a robotics lab in Slovenia. There, a powerful robot has been hitting people over and over again in a bid to induce anything from mild to unbearable pain - in apparent defiance of the late sci-fi sage's famed first law of robotics, which states that "a robot may not injure a human being".
But the robo-battering is all in a good cause, insists Borut Povše, who has ethical approval for the work from the University of Ljubljana, where he conducted the research. He has persuaded six male colleagues to let a powerful industrial robot repeatedly strike them on the arm, to assess human-robot pain thresholds.
It's not because he thinks the first law of robotics is too constraining to be of any practical use, but rather to help future robots adhere to the rule. "Even robots designed to Asimov's laws can collide with people. We are trying to make sure that when they do, the collision is not too powerful," Povše says. "We are taking the first steps to defining the limits of the speed and acceleration of robots, and the ideal size and shape of the tools they use, so they can safely interact with humans."
Povše and his colleagues borrowed a small production-line robot made by Japanese technology firm Epson and normally used for assembling systems such as coffee vending machines. They programmed the robot arm to move towards a point in mid-air already occupied by a volunteer's outstretched forearm, so the robot would push the human out of the way. Each volunteer was struck 18 times at different impact energies, with the robot arm fitted with one of two tools - one blunt and round, and one sharper.
The volunteers were then asked to judge, for each tool type, whether the collision was painless, or engendered mild, moderate, horrible or unbearable pain. Povše, who tried the system before his volunteers, says most judged the pain was in the mild to moderate range.
The team will continue their tests using an artificial human arm to model the physical effects of far more severe collisions. Ultimately, the idea is to cap the speed a robot should move at when it senses a nearby human, to avoid hurting them. Povše presented his work at the IEEE's Systems, Man and Cybernetics conference in Istanbul, Turkey, this week.
"Determining the limits of pain during robot-human impacts this way will allow the design of robot motions that cannot exceed these limits," says Sami Haddadin of DLR, the German Aerospace Centre in Wessling, who also works on human-robot safety. Such work is crucial, he says, if robots are ever to work closely with people. Earlier this year, in a nerve-jangling demonstration, Haddadin put his own arm on the line to show how smart sensors could enable a knife-wielding kitchen robot to stop short of cutting him.
"It makes sense to study this. However, I would question using pain as an outcome measure," says Michael Liebschner, a biomechanics specialist at Baylor College of Medicine in Houston, Texas. "Pain is very subjective. Nobody cares if you have a stinging pain when a robot hits you - what you want to prevent is injury, because that's when litigation starts."




Nov 11, 2010

IBM Launches Five-Year Effort To Develop Quantum Computing

IBM is breathing new life into a quantum computing research division at its Thomas J. Watson Research Center, reports New York Times. The computer giant has hired alumni from promising quantum computing programs at Yale and the University of California-Santa Barbara, both of which made quantum leaps in the past year using standard superconducting material.
Groups at both universities have been using rhenium or niobium on a semiconductor surface and cooling the system to absolute zero so that it exhibits quantum behavior. As the Times reports, the method relies on standard microelectronics manufacturing tech, which could make quantum computers easier and cheaper to make.
The Santa Barbara researchers told the Times they believe they can double the computational power of their quantum computers by next year.
Quantum computing uses spooky action at a distance to conduct superfast calculations. Rather than using transistors to crunch the ones and zeroes of binary code, quantum computers store data as qubits, which can represent one and zero simultaneously. This superposition enables the computers to solve multiple problems at once, providing quick answers to tough questions. But observing a qubit strips it of this duality — you can only see one state at a time — so physicists must figure out how to extract data from a qubit without directly observing it. That’s where quantum entanglement comes in handy; two qubits can be connected by an invisible wave so that they share each other’s properties. You could then watch one qubit to see what its twin is computing.
None of this is simple, however; there are several competing methods for making the qubits, including laser-entangled ions, LED-powered entangled photons, and more. Google is working with a Canadian firm called D-Wave that has claimed 50-qubit computers, although skeptics have questioned that number. In most systems, the number of entangled qubits remains small, but Yale researchers believe they will increase in the next few years, the Times says.
Even better: with all this practice, physicists are getting a lot better at controlling quantum interactions. Their precision has increased a thousand-fold, one researcher said. That’s good news for anyone studying quantum mechanics.


Quantum Computer Courtesy D-Wave

 
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