Plenary Speaker: Prof. David Hogg, School of Computing, University of Leeds, UK
“Learning about human behaviour for interactive robotics”
A robot can learn to interact in a natural way with people through observing human behaviour. Part of the challenge is to learn visual concepts and language constructs, such as the meaning of words and grammatical structure. We review recent work on the acquisition of visual and language models for human behaviour from on-line media such as TV shows, and from extended observation, using a mobile robot, of people involved in everyday activities.
David Hogg is Professor of Artificial Intelligence at the University of Leeds. He is internationally recognized for his work on computer vision, particularly in the areas of video analysis and activity recognition. He works extensively across disciplinary boundaries, and over the past ten years has collaborated closely with researchers in design engineering and the performing arts. He has been a visiting professor at the MIT Media Lab, Pro-Vice-Chancellor for Research and Innovation at the University of Leeds, Chair of the ICT Strategic Advisory Team at the Engineering and Physical Sciences Research Council (EPSRC) in the UK, and most recently Chair of an international review panel for Robotics and Artificial Intelligence commissioned by EPSRC. He is currently Chair of the Academic Advisory Group of the Worldwide Universities Network (WUN), helping to promote collaborative research between over 20 prominent research intensive universities from around the globe. David is a Fellow of the European Association for Artificial Intelligence (EurAI), a Distinguished Fellow of the British Machine Vision Association, and a Fellow of the International Association for Pattern Recognition. Read more details..