Stanford Online: University Courses & LecturesStanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF Localization
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education Lecture 17 — EKF Localization Note: This lecture was recorded as part of the 2019 edition of the course. Course content, structure, assignments, and other materials may have changed since this recording. The course links below point to the most recent edition and may therefore differ from what is presented in the video. Uploaded 21-10-26 Read the companion textbook, Principles of Robot Autonomy, free online: https://porabook.com Follow along with the latest course schedule and syllabus: https://stanfordasl.github.io/PoRA-I Speaker: Prof. Marco Pavone Dr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University and a Senior Director of Autonomous Vehicle Research at NVIDIA. Prior to joining Stanford, he was a Research Technologist in the Robotics Section at NASA’s Jet Propulsion Laboratory. Dr. Pavone received his Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His research focuses on the analysis, design, and control of autonomous systems, with particular emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He has been recognized with numerous awards, including the Presidential Early Career Award for Scientists and Engineers from President Barack Obama, the Office of Naval Research Young Investigator Award, the NSF CAREER Award, the NASA Early Career Faculty Award, the IEEE Kiyo Tomiyasu Award, the CSS Award for Technical Excellence in Aerospace Control, and the Early-Career Spotlight Award from the Robotics Science and Systems Foundation. Full playlist: https://www.youtube.com/playlist?list=PLR9iNyexfIkk #StanfordOnline #RobotAutonomy #Robotics #PhysicalAI Learn more about your ad choices. Visit megaphone.fm/adchoices
