Professor Dellaert’s research focuses on large-scale inference for autonomous robot systems, on land, air, and in water. He pioneered the use of several probabilistic methods in both computer vision and robotics. With Dieter Fox and Sebastian Thrun, he has introduced the Monte Carlo localization method for estimating and tracking the pose of robots, which is now a standard and popular tool in mobile robotics. More recently, he has investigated 3D reconstruction in large-scale environments by taking a graph-theoretic view and introduced factor graphs into the mainstream language of the robotics community. Prof. Dellaert has published more than 200 technical articles, as well as several book chapters. In 2005, he won an NSF CAREER award from the National Science Foundation, and was awarded research grants by NSF, DARPA, ARL, ARO, Intel, Microsoft, Samsung and others. During a leave from 2014 to 2018, Prof. Dellaert has spent time at his Alma Mater in Belgium and did an extensive stint as Chief Scientist at Skydio. He also worked for Facebook’s Reality labs 2016-2018 and for Google AI 2020-2022, and as CTO at Verdant Robotics.