Stanford Seminar - Towards Robots that Generalize and Adapt Efficiently

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/robotic...

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