An AI Robot Learned How to Pick up Objects After Training Only in the Virtual World

While some researchers attempt to build artificial intelligences (AI) that can solve problems that humans might not have even thought of yet, others are focused on creating ones that do something most of us take for granted: pick things up. For a robot, knowing how to properly grasp and lift an object is no easy task. To address this issue, researchers at the University of California, Berkeley, trained a deep learning system on a cloud-based data set of more than a thousand objects, exposing it to each one's 3D shape and appearance, as well of the physics of grasping it. Afterward, they tested their system using physical objects that weren't included in its digital training set. When the system thought it had a better than 50 percent chance of successfully picking up a new object, it was actually able to do it 98 percent of the time -- all without having trained on any objects outside of the virtual world.