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CYBERDYNE was launched in June 2004 to commercialize the cybernetic work of a group of researchers headed by Yoshiyuki Sankai a professor of system and information engineering at Japan's University of Tsukuba. Its newest product: the Robot Suit Hybrid Assistive Limb (HAL) exoskeleton, which the company created to help train doctors and physical therapists, assist disabled people, allow laborers to carry heavier loads, and aid in emergency rescues. A prototype of the exoskeleton suit is designed for the small in stature, standing five feet, three inches (1.6 meters) tall. The suit weighs 50.7 pounds (23 kilograms) and is powered by a 100-volt AC battery (that lasts up to five hours, depending upon how much energy the suit exerts).
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Telepolis mnews: Roboter, unsere Freunde und Begleiter - 0 views

www.heise.de/106450

robots

shared by Benjamin Jörissen on 25 Apr 08 - Snapshot

Ein von der EU mit 8 Millionen Euro gefördertes, vierjähriges Forschungsprojekt, an dem 10 europäische Universitäten, u.a. Psychologen von der Universität Bamberg, teilnehmen, soll die Beziehungen zwischen Menschen und Robotern untersuchen und neue Roboter mit emotionaler Intelligenz entwickeln, die als langfristige Begleitung von Menschen dienen können.
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Japan's cyborg research enters the skull - 0 views

www.pinktentacle.com/...borg-research-enters-the-skull

anthropology news prosthetics robots

shared by Benjamin Jörissen on 18 Apr 08 - Snapshot

Researchers at Osaka University are stepping up efforts to develop robotic body parts controlled by thought, by placing electrode sheets directly on the surface of the brain.
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Virtual child passes mental milestone - 0 views

technology.newscientist.com/...-passes-mental-milestone-.html

agents artificialintelligence robots

shared by Benjamin Jörissen on 14 Mar 08 - Snapshot

A virtual child controlled by artificially intelligent software has passed a cognitive test regarded as a major milestone in human development. It could lead to smarter computer games able to predict human players' state of mind.

Children typically master the "false belief test" at age 4 or 5. It tests their ability to realise that the beliefs of others can differ from their own, and from reality.

The creators of the new character – which they called Eddie – say passing the test shows it can reason about the beliefs of others, using a rudimentary "theory of mind".
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Eddie can pass the test thanks to a simple logical statement added to the reasoning engine: if someone sees something, they know it and if they don't see it, they don't.
- Benjamin Jörissen on 14 Mar 08
  
  That I'd call cheating. Eddie neither is able to go wrong having the algorithm applied, nor has made any kind od experience leading to the insight that enables to pass the test. The cognitive structures allowing human kids to pass the test are much more complex and "rich" than that simple algorithmic rule. They imply a whole world of (social) perspective taking.
  
  <div class="cArrow"> </div><div class="cContentInner">That I'd call cheating. Eddie neither is able to go wrong having the algorithm applied, nor has made any kind od experience leading to the insight that enables to pass the test. The cognitive structures allowing human kids to pass the test are much more complex and "rich" than that simple algorithmic rule. They imply a whole world of (social) perspective taking.</div>
  
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John Laird, a researcher in computer games and Artificial Intelligence (AI) at the University of Michigan in Ann Arbor, is not overly impressed. "It's not that challenging to get an AI system to do theory of mind," he says.
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...1 more annotation...
More impressive demonstration, says Laird, would be a character, initially unable to pass the test, that learned how to do so – just as humans do.
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Roboter wie Kinder erziehen - 0 views

www.tecchannel.de/...index.html

news robots

shared by Benjamin Jörissen on 11 Mar 08 - Snapshot

Benjamin Jörissen on 11 Mar 08

Neue Klientel für PädagogInnen?

<div class="cArrow"> </div><div class="cContentInner">Neue Klientel für PädagogInnen?<br /></div>

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Die Wissenschaft entdeckt die Wii - 0 views

www.heise.de/104768

body learning wii

shared by Benjamin Jörissen on 11 Mar 08 - Snapshot

Dale und sein Team interessierte dabei, wie sich die Bewegungscharakteristika veränderten, wenn Menschen lernen. Dazu ließen sie die Teilnehmer ihnen anfangs nicht vertraute Symbole zu Paaren ordnen. Dabei fanden sie heraus, dass der Lernerfolg der Teilnehmer sich auch körperlich niederschlug: Je vertrauter die Probanden mit ihrer Aufgabe wurden, desto schneller, regelmäßiger und fester wurden ihre Bewegungen.
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