Jaime Fernández Fisac

Jaime Fernández Fisac's work combines safety analysis from control theory with machine learning and artificial intelligence techniques to enable robotic systems to reason competently about their own safety, despite using inevitably fallible models of the world and other agents. This is achieved by having robots monitor their own ability to understand the world around them, accounting for how the gap between their models and reality affects their ability to guarantee safety. Much of Jaime's research uses dynamic game theory, together with insights from cognitive science, to enable robots to strategically plan their interaction with human beings in contexts ranging from human-robot teamwork to drone navigation and autonomous driving. His lab’s scope spans theoretical work, algorithm design, and implementation on a variety of robotic platforms. Prior to joining the Princeton faculty in Fall 2020, Jaime spent a year as a research scientist at Waymo (formerly known as Google's Self-Driving Car project), working on autonomous vehicle safety and interaction.