Karol Hausman is a Staff Research Scientist at Google DeepMind and an Adjunct Professor at Stanford, where he works on robotics and machine learning. He earned his PhD from the University of Southern California, and his M.Sc. from the Technical University of Munich. His primary interest lies in enabling robots to acquire general-purpose skills in real-world environments. Recently, he has been very enthusiastic about investigating foundation models for robot decision making.  When not debugging robots at Google, he co-teaches the Deep RL class at Stanford.