MIT Technology Review  November 7, 2019 Researchers at UC Berkeley are creating RoboNet, a database similar to the ImageNet created by Princeton University, consisting of annotated video data of robots in action. The trick is to have countless hours of video to learn from. They start by recording the way a robot interacts with, say, a brush to move it across a surface. Then they take countless hours of video to learn from many more videos of its motion and use the data to train a neural network on how best to perform the action. Once a robot has mastered […]