“What’s especially clever about Dex-Net is how it learns to grasp. The software tries picking up objects in a virtual environment, training a deep neural network through trial and error. Even in simulation, this is a laborious task. Crucially, though, Dex-Net can generalize from an object it has seen before to a new one. The robot will even nudge an item to get a better look at it if it isn’t sure how it should be grasped.” MIT Tech Review: This is the most dexterous robot ever created. (As an added bonus, it was created by my friend, the most-excellent Ken Goldberg.)