| Heba Al-Lakany |
Human gait analysis, data mining, signal processing |
| Ernesto Andrade |
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| Nobuyuki Bannai |
3D Reconstruction on building a computer graphics model of Edinburgh Central Mosque from 3D Range Data and Digital Camera Images as well as adding "realism" to the computer graphics model using the images |
| Jose Carlos Bins |
3D Control in computer vision, Learning in vision, Feature selection, Neural nets, Neuro-Symbolic systems |
| Scott Blunsden |
Scene understanding, detecting and interpreting actions and interactions between people, Graphical Models. |
| Jay Bradley |
Multi-agent systems applied to societies of non-player characters in massively multiplayer computer games |
| Toby Breckon |
3D vision, vision in built environments, vision based reasoning |
| Ali Yener Boztas |
System analysis and automatic control, mechanical system design, assembly robotics, motor control, manipulator dynamics, CAD-CAM-CAE, engineering design, graphic design, embedded software programming |
| Helmut Cantzler |
Reconstruction of built environments |
| Jose Carmena |
Biomimetic SONAR, animal sensorimotor systems |
| William Cavendish |
Creating 360 degree dual axes for collaborative visual environments |
| Miguel Cazorla |
Computer Vision and Robotics, 3D Mapping. |
| Alex Champandard |
AI Technology in Video Games |
| Ignasi Cos Aguilera |
Affordance learning, ecological behaviour selection architectures |
| Ben Curry |
Co-operative and expressive performance of music |
| Ben Dawson |
Constructing 3D models from stereo and monocular images of a scene for use in robot assembly navigation. |
| John Demiris |
Learning by imitation, collaborative learning, and the neuropsychology and pathology of perception and action. |
| Mark Drake |
Robot crickets |
| Narayanan Edakkunni |
Online and real time learning in robots |
| Petko Faber |
Architectural Feature Interpretation |
| Sandra Gadanho |
Autonomy, learning and emotions in mobile robotic systems |
| John Hallam |
Animal sensorimotor mechanisms, evolutionary robotics, autonomous vehicles, feature-based localisation |
| Chalita Hiransoog |
Sensor fusion in assembly robots |
| Heiko Hoffmann |
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| Tim Hospedales |
Learning in Bayesian models of human multi-modal perceptual inference |
| Mykel Kochenderfer |
Adaptive modelling and planning for large stochastic domains |
| George Konidaris |
Situated learning and emergence |
| Bruce Lamond |
3D vision, reconstruction of virtual environments using photogrammetry and range data, applying colour images to range data |
| Zhicheng Liu |
Coalition formation in large-scale multiagent systems |
| Tim Lukins |
Modelling human structure and dynamics from 3D range data |
| George Maistros |
Imitation, visuomotor coupling and learning aspects of the pre-motor area of the brain, mirror neurons |
| Neil McCormick |
Environment recovery, 3D reconstruction |
| Graham McNeill |
Use of functional analysis and kernel methods in machine learning |
| Jonathan Meddes |
Automated computer visualisation. |
| Peter Ottery |
Robotic self-reconfiguration based on cellular morphogenesis |
| George Papadopoulos |
Music composition |
| Simon Perkins |
Real-time optic flow based range sensing on a mobile robot platform |
| Georgios Petkos |
Multiple models and model switching, mixing for sensorimotor control under varying contexts |
| Luke Phillips |
Building a computer-based tutor to teach drumming |
| Sotiris Raptis |
Automatic Computer Based Situation, Human Activity or Behaviour Recognition, Assessment Using Human Principles as the Gestalt Features and Human Visual System Principles. |
| Richard Reeve |
Neural control of behaviour, robotic modelling of animals, the peripheral nervous system, and levels of neural modelling |
| Craig Robertson |
3D vision, colour vision and visual context, evolutionary algorithms |
| Nils Roeder |
Design and Programming of Embedded Control Systems |
| Hugo Rosano Matchain |
Biologically Inspired Compliant Locomotion for Hexapod Robots |
| Miguel Sanchiz |
Sensor planning for environment model recovery |
| Rowland Sillito |
Stimulus driven attention systems for the selective processing of dynamic visual information |
| Darren Smith |
Models of neural mechanisms underlying the behaviour in animals, and particularly insects, combined in small networks to control the behaviour of an autonomous robot. Learning behaviour implemented in such models and networks. |
| Michael Spratling |
Cortical, behavioural and cognitive development; neuroscience; constructivism |
| David Stocks |
Evolution of chiroptera pinnae by using genetic algorithms |
| Yarou Sun |
Selective attention |
| Matthew Szenher |
Biologically inspired multi-sensory integration |
| Tim Taylor |
Artificial evolutionary systems. Evolvability. Open-ended evolution. Self-replication. Ecology as a drive for evolution. Relational biology and autopoiesis. Combining genetic and cultural evolution with lifetime learning. Evolution of morphology and behaviour for physically-modelled creatures |
| Turgay Temel |
Robotics, stochastic/adaptive signal processing, VLSI acoustic, analog and mixed-signal system design, multi-valued logic, crpytography, DSP/microprocessor system design and software/hardware development |
| Marc Toussaint |
Learning models of an interactive environment, sensorimotor models, planning, finding decomposed (latent) state representations for such models, neural implementations of such models |
| David Tweed |
Processing and analysis of surveillance footage, general identification and analysis of moving objects, mathematical models vs processor features |
| Fang Wang |
Virtual life in virtual environments |
| Geraint Wiggins |
Musical pitch, timbre, and spatial position discrimination; modelling rhythmic behaviour |
| Yuval Marom |
Social learning, imitation, and attention in mobile robots |
(*) Images show the Honda Asimo robot, DLR-LWR arm, Sony AIBO, Koala and Khepera robots.