Google is using machine learning to teach robots how to grasp random objects


#Google is using Machine learning to teach Robots how to grasp Random objects?

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Google is now  Started using  robots to train a deep convolutional neural network (a technique that’s all the rage in machine learning right now) to help its robots finds or to detects the outcome of their grasps based on the camera input and motor random commands. It’s basically man's hand-robot coordination for robots.

 It took about 3,000 hours of practice (and 800,000 grasp attempts) before it saw “the beginnings of intelligent reactive behaviors.”

Using your hand to grasp a Chalk that’s lying on your desk doesn’t exactly feel like a chore, but for robots
 that’s still a really hard thing to do.!  So to teach robots how to better grasp random objects, Google’s research team dedicated 14 robots to the task.
The standard way to solve this problem would be for the robot to survey the environment, create a plan for how to grasp the object, then execute on it. In the real world, though, lots of things can change between formulating that plan and executing on it.
“The robot observes its own gripper and corrects its motions in real time. It also exhibits interesting pre-grasp behaviors, like isolating a single object from a group,” the team writes. “All of these behaviors emerged naturally from learning, rather than being programmed into the system.”
I think Its an Oops Moment..! When we See this magic,..Wait & See what Google is Googling about there Magical Improvements...

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Thank U Guys
Article By Gnaneshwar! Hope U all Fun Reading :)

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