Stuart Young joined DARPA in January 2020 as a program manager in the Tactical Technology Office. His expertise includes autonomous/unmanned ground and air vehicles, intelligent behaviors for unmanned systems, multi-agent teaming, applied artificial intelligence (AI) and machine learning (ML), and field robotics technologies.
Prior to joining DARPA, he served as program manager for AI for Maneuver and Mobility at the Army Research Laboratory (ARL), focusing on basic and applied research in efforts to develop intelligent behaviors and foundational autonomy for collaborating robotic teams operating in militarily relevant environments. He previously served as division chief for the Information Sciences Division at ARL, where he led a large team of researchers performing basic and applied research in intelligent behaviors for autonomous Army robots, machine learning for C3I, and natural language understanding for multi-domain battle. He also led the ARL Robotics Collaborative Technology Alliance, in addition to serving as a branch chief and researcher dedicated to intelligent robotic behaviors. Young participated in numerous DARPA initiatives through his career including the Tactical Mobile Robotics, Mind’s Eye, DARPA Robotics Challenge, UGCV PerceptOR Integrator, and Learning Applied to Ground Robotics programs.
Young holds a Bachelor of Science in mechanical engineering from the University of Washington. He earned a Master of Science degree in mechanical engineering from the Naval Postgraduate School, and holds a Doctor of Philosophy in systems engineering from The George Washington University. He previously served 13 years in the U.S. Army Reserve as a captain in the Engineer Branch.
All times are presented in the host university’s local time zone.
Subterranean (SubT) Challenge & OFFensive Swarm-Enabled Tactics (OFFSET)
(4:00pm - 4:10pm)
The Future of Autonomous Vehicles
(1:00pm - 1:45pm)
Aircrew Labor In-Cockpit Automation System (ALIAS)
(2:50pm - 3:00pm)
Systems of Autonomy
(9:10am - 9:55am)
Closing the Loop on Learning
(8:25am - 8:30am)