Dr. Pavone shares details on recent advances in deep generative modeling for intent prediction and provides results from experiments on a full-scale steer-by-wire platform. He also talks about related efforts from his group on infusing safety assurances in autonomy stacks equipped with learning-based components.
Dr. Pavone is the Director of the Autonomous Systems Laboratory (ASL) at Stanford University and is Co-Director of the Center for Automotive Research at Stanford. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. Dr. Pavone is the recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation.