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.
Dr Edward Johns is the Director of the Robot Learning Lab at Imperial College London, where he is also a Senior Lecturer (Associate Professor) and Royal Academy of Engineering Research Fellow. His work lies at the intersection of robotics, computer vision, and machine learning.