Dr Edward Johns is the Director of the Robot Learning Lab at Imperial College London, where he is also a Lecturer (Assistant Professor) and Royal Academy of Engineering Research Fellow. His work lies at the intersection of robotics, computer vision, and machine learning.
He received a BA and MEng in Electrical and Information Engineering from the University of Cambridge, and a PhD in computer vision from Imperial College. After a post-doc at UCL, he returned to Imperial College as a founding member of the Dyson Robotics Lab with Andrew Davison, where he led the robot manipulation research. In 2017, he was awarded a Royal Academy of Engineering Research Fellowship, and in 2018, he was appointed as a Lecturer and founded the Robot Learning Lab.
Johns E, Yang G-Z, 2014, Generative Methods for Long-Term Place Recognition in Dynamic Scenes, International Journal of Computer Vision, Vol:106, ISSN:0920-5691, Pages:297-314
James S, Davison A, Johns E, 2017, Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task, Conference on Robot Learning, PMLR, Pages:334-343
Johns E, Leutenegger S, Davison AJ, 2016, Pairwise Decomposition of Image Sequences for Active Multi-View Recognition, Computer Vision and Pattern Recognition, Computer Vision Foundation (CVF), ISSN:1063-6919
Johns E, Leutenegger S, Davison AJ, 2016, Deep learning a grasp function for grasping under gripper pose uncertainty, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Pages:4461-4468, ISSN:2153-0866