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 M¢25  Funded By Mahalo ? |  November 04, 2009 05:10 PM

How are robots being programmed to make decision hologically about their environment?

How good are robots becoming about making decisions about their environment?

What are the new hological learning algorithms?
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owl owl
 
November 04, 2009 06:24 PM
The latest of the robots have been programmed to mimic human actions when human are subjected to obstacles (done through motion capturing using sensors) and act accordingly when left to decide on their own before similar situations. For example, a robot learns to swing a baseball bat through motion capturing from a real human who is swinging a baseball bat facing a ball and is fitted with sensors at every joint and tips of the limbs. Then the robot is subjected to similar situation and the robot repeats the same action. But the robot follow exactly the same angle, speed and direction, whether or not the ball can be struck with that.

So far, the latest robot (the best one from the point of view of capable of taking decisions) can hardly do what an one and a half year old child does with ease. So, you can imagine the long way it has to go. It often tumbles and falls down while crossing three single bricks laid in its path. It easily crosses the first, takes on the second with difficulty and falls down on the third.

I cannot explain the learning algorithms here.
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November 04, 2009 09:42 PM
Will Blue brain create electronic holograms that will simulate perception?

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November 04, 2009 06:38 PM
One of the most interesting challenges for robots adapting to their environment is the DARPA Grand Challenge. It involves robotic vehicles crossing 150 miles of variable terrain without human involvement.

http://en.wikipedia.org/wiki/DARPA_Grand_Challenge

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November 04, 2009 09:38 PM
What were the results of the latest Urban Challenge? How many decisions did the computer successfully navigate? How does the decision making system compare with a human driver?

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