Thursday, June 4, 2015

UC Berkeley Develops 'Deep Learning' for Robot - Dian Schaffhauser, Campus Technology

The same sophisticated approach to pattern matching that Siri and Cortana use to respond to questions more accurately is now helping a robot at the University of California Berkeley learn how to screw caps on bottles and rack up a hanger with an ever-growing repertoire of dexterity. Rather than programming each type of task, the researchers there are relying on algorithms that direct the robot to use trial and error, learning as it goes, more closely resembling the way humans learn. Among the activities already mastered by "BRETT" (Berkeley Robot for the Elimination of Tedious Tasks) are assembling a toy plane, fitting the claw of a toy hammer under a nail with various grasps and figuring out where the square peg belongs. BRETT is actually a Personal Robot 2 (PR2) produced by Willow Garage.

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