Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | The Robot Operating System (ROS)
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationGuest Lecture — The Robot Operating System (ROS)
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.
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: Dr. Benoit Landry, Research Scientist at Google DeepMind
Dr. Benoit Landry is a Research Scientist at Google DeepMind. Prior to joining Google DeepMind, he led a machine learning and robotics research team at Apple. Dr. Landry received his Ph.D. in Aeronautics and Astronautics from Stanford University in 2021, where he worked with Professor Marco Pavone, and his Bachelor of Science and Master of Engineering in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2015. His research focuses on machine learning, optimization, and control theory, with particular emphasis on planning and control for autonomous robotic systems. He has been recognized as a Siebel Scholar and received the Stanford Robotics Center Fellowship supported by FANUC. He also co-founded the Stanford Robotics Seminar and helped develop and teach Stanford’s Principles of Robotic Autonomy course.
Full playlist: https://www.youtube.com/playlist?list=PLR9iNyexfIkk
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