I hold the position of Professor of Robot Vision at the Department of Computing, Imperial College London, and lead the Dyson Robotics Laboratory at Imperial College where we are working on vision and AI technology for next generation home robotics. I also lead the Robot Vision Research Group though most of my activity is now within the Dyson Lab.
I am working in computer vision and robotics: specifically my main research has concerned SLAM (Simultaneous Localisation and Mapping) using vision, with a particular emphasis on methods that work in real-time with commodity cameras. I pioneered SLAM with vision from the mid 1990s onwards, and brought the SLAM acronym and methods from robotics to single camera computer vision with the breakthrough MonoSLAM algorithm in 2003 which enabled long-term, drift-free, real-time SLAM from a single camera for the first time, inspiring many researchers and industry developments in robotics and inside-out tracking for VR and AR.
Currently my main research interests are in improving the performance in terms of dynamics, scale, detail level, efficiency and semantic understanding of real-time 3D vision. I believe that SLAM is evolving into something even more important that I am calling "Spatial AI". Please read my 2018 discussion paper FutureMapping: The Computational Structure of Spatial AI Systems and the 2019 follow-up FutureMapping 2: Gaussian Belief Propagation for Spatial AI for an up-to-date insight into my current thinking.
Imperial College Robotics; Imperial College Computer Vision: please contact me if you have an outstanding background and motivation to undertake PhD studies or post-doctoral research as I am always looking for excellent new team members. I apologise that I am not always able to reply to all messages but you can be sure that your message will catch my eye if you have top level mathematics and programming skills and experience which is relevant to our research. Unfortunately we do not normally have positions for interns or short-term visitors.
Please see the Dyson Robotics Lab Webpage for news, videos and publications about my group's work.
And follow me on Twitter at @AjdDavison for up-to-date research news, thoughts and discussions about vision, robotics, SLAM, Spatial AI and the wider world of technology!
I am co-founder of SLAMcore, the London-based start-up company and Imperial College spin-out specialised in applied Spatial AI solutions. Please visit our website for business enquiries or job opportunities in our elite SLAM team.
See this growing Twitter thread with many videos and papers from all of these projects.
2010 Dr. Margarita Chli, now at ETH Zurich, Switzerland.
Applying Information Theory to Efficient SLAM
2012 Dr. Steven Lovegrove, now at Facebook Reality Labs, Seattle, USA.
Parametric Dense Visual SLAM
2012 Dr. Gerardo Carrera, now at Grupo Financiero Banorte, Mexico.
Robot SLAM and Navigation with Multi-Camera Computer Vision
2012 Dr. Hauke Strasdat, now at Facebook Reality Labs, Seattle, USA.
Local Accuracy and Global Consistency for Efficient Visual SLAM
2013 Dr. Ankur Handa, now at NVidia Research, Seattle, USA.
Analysing High Frame-Rate Camera Tracking
2014 Dr. Richard Newcombe, now at Facebook Reality Labs, Seattle, USA.
Dense Visual SLAM
2014 Dr. Renato Salas-Moreno, now at Vtrus, Seattle, USA.
Dense Semantic SLAM
2017 Dr. Jan Jachnik, now at Dyson, Malmesbury, UK.
Towards Real-Time Lighting-Aware Scene Capture from a Moving Camera
2017 Dr. Robert Lukierski, now at SLAMcore, London, UK.
Rapid Room Understanding from Wide-Angle Vision
2018 Dr. Jacek Zienkiewicz, now at SLAMcore, London, UK.
Dense Monocular Perception for Mobile Robotics
2018 Dr. Hanme Kim, now at Toyota Research Institute, Silicon Valley, USA.
Real-Time Visual SLAM with an Event Camera
2019 Dr. John McCormac, now founding a start-up in Northern Ireland, UK.
SLAM and Deep Learning for 3D Indoor Scene Understanding
2019 Dr. Patrick Bardow, now at Google, Zurich, Switzerland.
Estimating General Motion and Intensity from Event Cameras
2020 Dr. Jan Czarnowski, now at Boston Dynamics, USA.
Learned Representations for Real-Time Monocular SLAM
Several of these theses were thanks to close co-supervision with Stefan Leutenegger. I will also soon add links to the theses where I have been a co-supervisor (including Dr. Javier Civera, Dr. Peter Mountney, Dr. Akis Tsiotsios, Dr. Ping-Lin Chang).Andrew Davison