Andy Zeng is an American computer scientist and AI engineer at Google DeepMind.
[1][2] Zeng studied computer science and mathematics as an undergraduate student at the University of California, Berkeley.
His thesis focused on deep learning algorithms that enable robots to understand the visual world and interact with unfamiliar physical objects.
[4] He developed a class of deep neural network architectures inspired by the concept of affordances in cognitive psychology (perceiving the world in terms of actions), which allow machines to learn skills that can quickly adapt and generalize to new scenarios.
[12] Notable demonstrations include Google's TossingBot,[13] a robot that can learn to grasp and throw unfamiliar objects using physics as a prior model of how the world works.