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Spring 2022 GRASP SFI: Ted Xiao, Robotics at Google, “A Panorama of End-to-end Robot Learning”
March 2 @ 3:00 pm - 4:00 pm
*This was a HYBRID Event with in-person attendance in Levine 512 and Virtual attendance…
In recent years, a variety of approaches to robotic control have gained popularity as robots play an increasingly larger role in our everyday lives. In this talk I will give an introduction to modern-day robot learning, covering engineering and research challenges. After establishing the foundations of popular methods, I will present why I believe that end-to-end Machine Learning is the scalable approach for solving robotics problems. Finally, I will talk about some interesting open problems and how data-driven methods can learn efficiently in the real world on a large set of tasks with less supervision.