Enrique Fernández González
About Enrique Fernández González
I'm a roboticist at Intrinsic, a new Alphabet company working to unlock the creative and economic potential of industrial robotics for millions more businesses, entrepreneurs, and developers. Before Intrinsic, I was a software engineer working on onboard planning and decision making at Waymo (formerly known as Google’s Self-Driving Car project), where I developed and implemented onboard algorithms for robust planning under uncertainty. I designed and wrote algorithms to help the robot make safe and assertive decisions in the presence of imperfect information. I earned my PhD in Artificial Intelligence and Robotics at MIT in 2017 as a member of Brian Williams' MERS lab at the Computer Science and Artificial Intelligence Lab (CSAIL). My research focused on Combined Activity and Motion Planning for multiple coordinated robots, which entailed heuristic forward search and convex optimization. I also earned an Industrial Engineering B.S. at UPM Madrid and a M.S in Electrical Engineering at IIT in 2009. Before Waymo, I worked on other autonomous robotics projects, from self driving at Tesla Autopilot to flying delivery drones at Amazon Prime Air. Before my PhD, I spent a few years working in the wind energy industry at Vestas, in multiple worldwide locations and roles (from research to manufacturing and R&D project management) as part of their two-year rotational talent program (Vestas Graduate Programme).