Keynote speaker

Advances In Hand-Eye Robot Interactions

Professor Paul Siebert

Professor Paul Siebert

School of Computing Science, University of Glasgow


Humans and robots share the common need to be able to interact with the world by means of visual sensing. This presentation overviews advances towards robot vision systems for both general purpose grasping and specialised tasks, in particular clothing manipulation. In addition, the methods considered here also have relevance to egocentric perception tasks, for example teleoperation of robot systems, or training robot grasping systems by example based on eye tracking glasses and hand pose tracking, using data-gloves or vision.

Brief biography of the Speaker

Jan Paul Siebert is currently a READER (Associate Professor) in the School of Computing Science, University of Glasgow. He has engaged in computer vision research for over 30 years, specialising in 2D/3D computer vision, biologically motivated vision and active binocular imaging systems and their application, primarily in clinical surface anatomy assessment and robot vision. He obtained BSc and PhD degrees in 1979 and 1985 respectively in the Department of Electronics and Electrical Engineering at Glasgow University. His research pioneered the development of videometric 3D imagers in the late 1980's at BBN Laboratories (Edinburgh, UK) and then at the Turing Institute (Glasgow, UK). From 1994 he oversaw the production of viable 3D imaging systems as CEO of the Turing Institute. In 1997 he became Director of the 3D-MATIC Faraday Partnership from which the Computer Vision for Autonomous Systems research group ( CVAS) was established at Glasgow University, School of Computing Science.

His current research now focuses on 2D and 3D computer vision methods for cognitive robot vision systems and intelligent visual sensing, combining biologically motivated computer vision with Deep Learning approaches. Dr Siebert has co-authored over 110 publications and a recent book An Introduction to 3D Computer Vision Techniques and Algorithms, and has held 11 major grants in 3D computer vision and was co-investigator on a further 13 large scale projects. Recent projects include the EU funded CLOPEMA investigating clothing perception and manipulation, iSee exploring vision for grasping and manipulation in collaboration with the Shadow Robot Company, and a Software Retina-Deep CNN model.

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