Robots Master Motor Skills by Trial and Error

#Robots

Fri, May 22nd, 2015 11:00 by capnasty NEWS

By mimicking the process in which humans learn, researchers at UC Berkeley have developed algorithms that allow robots to master their motor skills by trial and error. The idea is that when the robot is faced with a new task, it won't need to be programmed, but will instead figure it out on its own.

“What we’re reporting on here is a new approach to empowering a robot to learn,” said Professor Pieter Abbeel of UC Berkeley’s Department of Electrical Engineering and Computer Sciences. “The key is that when a robot is faced with something new, we won’t have to reprogram it. The exact same software, which encodes how the robot can learn, was used to allow the robot to learn all the different tasks we gave it.”

  1605

 

You may also be interested in:

Using Miniature Robots as an Interface Mechanisms
"The [robot] could keep children [...] occupied for 'a couple of hours' without adult supervision."
Robots with Origami Wheels
Betty, the Robot Manager
Introducing Our First Twitter Bot (Sort of): Miss Fortune at @bottune