Ken Goldberg in MIT Technology Review
BCNM's Ken Goldberg was featured in two articles about cloud robotics and deep reinforcement learning. Goldberg was identified as a key roboticist relating to an ongoing project at Brown University where researchers hope to build a cloud database of image recognition to allow robots all over the world to learn how to pick up a variety of objects without the need for painstaking programming of each task. Goldberg also weighed in on Fanuc, Preferred Networks, and Google's ongoing efforts to improve cloud learning and to expand its applications.
From the article:
However, Goldberg notes, applying machine learning to robotics is challenging because controlling behavior is more complex than, say, recognizing objects in images. “Deep learning has made enormous progress in pattern recognition,” Goldberg says. “The challenge with robotics is that you’re doing something beyond that. You need to be able to generate the appropriate actions for a huge range of inputs.”