Humans Teaching Robots: The Future of Deep Learning in the Physical World
Deep learning has proven to be astonishingly powerful for software-based AI. But what about the physical world? Could we use deep learning to train robots? In this talk, I will present my vision for the future of everyday robots learning everyday tasks, through interactions with everyday humans. In particular, I will describe the progress being made in the field of imitation learning – robots learning from human demonstrations – in the Robot Learning Lab at Imperial College London. I believe that robotics will perhaps change our lives more dramatically than any other area of AI, and that deep learning will be a key part of that future.
Dr Edward Johns is the Director of the Robot Learning Lab at Imperial College London. After receiving a BA and MEng from Cambridge University, and a PhD from Imperial College, he was a founding member of the Dyson Robotics Lab at Imperial College in 2016. In 2017, he was awarded a prestigious Royal Academy of Engineering Research Fellowship, and then in 2018 he founded the Robot Learning Lab. In a part-time capacity, he is also Head of Robot Learning at Dyson, and an advisor for a number of start-ups. Edward's research lies at the intersection of robotics, computer vision, and machine learning.