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February 28, 2025 Franziska Meier, Meta While there has been major investment in developing large-scale robot learning algorithms, achieving true autonomy remains a wide-open research question. A key ingredient towards this goal is a robots ability to generalize to unseen scenarios well enough such that it can bootstrap learning and adaptation efficiently. In this talk, I’ll present examples of FAIR robotics research towards the goal of learning general representations for a wide spectrum of robotics applications. About the speaker: https://fmeier.github.io/ More about the course can be found here: https://stanfordasl.github.io/robotics_seminar/ View the entire AA289 Stanford Robotics and Autonomous Systems Seminar playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rMeercb-kvGLUrOq4HR6BZD ► Check out the entire catalog of courses and programs available through Stanford Online: https://online.stanford.edu/explore View our Robotics and Autonomous Systems Graduate Certificate: https://online.stanford.edu/programs/robotics-and-autonomous-systems-graduate-certificate
