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Director

  • Sethu Vijayakumar:  Statistical Machine Learning for Robotics, Planning, Optimisation and Adaptive Control, Computational Motor Control, Multimodal Sensorimotor Integration

Academic Staff

  • Bob Fisher:  Model-based vision, 3D/range data interpretation and applications, video sequence analysis
  • Michael Herrmann:  Neurorobotics, self-organisation of behaviour, prosthetic control, computational neuroscience of ageing, neuroinformatics
  • Taku Komura:  Computer graphics, robotics and biomechanics: human motion analysis and synthesis, physically-based animation and real-time computer graphics
  • Subramanian Ramamoorthy:  Decision Making over Time and under Uncertainty, Robust Autonomy in 'Large Worlds', Learning in Robots and Multiagent Systems
  • Vittorio Ferrari:  Computer Vision and Object Recognition, Human Pose Estimation, Shape Matching, Object Categorization and Tracking
  • Barbara Webb:  Perceptual systems for the control of behaviour, robot models of animals, simulation of neural circuits

Visiting Academic

Associate Academic Staff

  • Chris Malcolm:  Behaviour-based robotic assembly and planning, machines with minds
  • Tim Colles:  Mobile robot programming languages
  • Austin Tate:  Planning and activity management
  • Chris Williams:  Machine learning and computer vision
  • David Willshaw:  Construction of networks of neurons and the computations performed by them

Research Staff

  • Lucia Ballerini:  Medical image analysis
  • Bastiaan Boom:  Computer Vision, Pattern Classification and Image Processing
  • David Braun:  System dynamics and control, Variable impedance robotics
  • Matthew Howard:  Statistical machine learning for robot control, behaviour imitation and inverse optimal control, with a focus on transfer between systems with heterogeneous dynamics and/or constraints
  • Hassan Mahmud: 
  • Michael Mangan: 
  • Takeshi Mori:  Statistical machine learning, reinforcement learning, robot control
  • Jun Nakanishi:  Motor learning and control of robotic systems, dynamical systems

  • Jan Wessnitzer:  Biologically inspired models for task specific sensor integration for action

PhD Research Students

  • Luigi Acerbi:  Subjective structure of space-time in perception and action, sensorimotor adaptation and learning, Bayesian models
  • Rami Al-ashqar: 
  • Stefano Albrecht:  Ad Hoc Coordination in Multiagent Systems
  • Paul Ardin: 
  • Adam Barnett:  Using maximum-flow for multi-agent control in computer graphics
  • Cigdem Beyan:  Behaviour analysis of fish in live undersea video recordings
  • Sandy Enoch:  Biologically inspired robotic hardware and control methods for efficient dynamic bipedal locomotion
  • Christine Gardner:
  • Majd Hawasly:  Robust multi-robot strategic decision making
  • Joe Henry:  Hierarchical methods for massive crowd control in computer graphics
  • Xuan Huang:  Visual pattern and features in animal species classification and clustering
  • Vladimir Ivan:  Topology based motion synthesis and planning
  • Thomas Joyce:  Self-organisation, artificial life and autonomous robots
  • Xiang Li:  Using colour and topographic information for skin lesion diagnosis and analysis
  • Hsiu-Chin Lin:  Machine Learning for Robot Control, Imitation Learning, and Rehabilitation Robotics
  • Steven McDonagh:  Stereo range data processing and analysis, 3D shape fusion
  • Alesis Novik:  Collective computation approaches to models of nonstationary dynamics (motivated by electronic markets)
  • Evelina Overlingaite:  Optimality in Sensorimotor Control--theory and human experiments
  • Georgios Petrou:  Investigation of cricket phonotactic behaviour
  • Andreea Radulescu: 
  • Konrad Rawlik:  Stochastic optimal control, Bayesian models, human variable impedance control
  • Benjamin Rosman:  Intelligent decision-making, acting in large worlds, strategic agent interactions, dexterous manipulation
  • Hannes Saal:  Tactile processing, haptics, sensorimotor control, Bayesian models
  • Peter Sandilands:  Animation of close interactions involving the hand using physical simulation and topological representation
  • Ian Saunders:  Developing a closed-loop prosthetic hand to study human sensorimotor and multisensory integration
  • Simon Smith: Self organization of behaviour and internal models in autonomous robots
  • Chris Towell:  Learning and generalization from human demonstrations for anthropomorphic robots
  • Victor Hernandez Urbina:  Dynamical systems applied to network theory to study the brain
  • Efstathios Vafeias: 
  • Aris Valtazanos:  Design and online learning of strategic behaviours in the robotic soccer domain
  • He Wang:  Control strategy based on the topological relationship between deformable objects and its application in human character animation, cloth simulation/animation and physical simulation
  • Matthew Whitaker:  Investigating the effects of inter-agent communication on multi-agent reinforcement learning
  • Xi Zhao:  Computer graphics, human motion analysis and synthesis

Administrative Staff

Technical Support

Affiliates

  • Anthony Ashbrook:  3D vision, statistical modelling of visual data, dynamic models
  • Richard Baldock: 
  • Joanna Bryson:  Agent architectures and action selection for real and virtual robots
  • John Hallam:  Biorobotics, especially sensory biorobotic systems; user modelling in computer games;  computational neuroscience and machine learning
  • Roy Middleton
  • David Renshaw:  Analog & digital MOS circuit design, CMOS VLSI image sensors and sensor-processors applications of image processing
  • Qiang Shen:  Model based control, fuzzy systems, pattern recognition
  • Steve Wall
  • Gordon Watson
  • Mark Wright
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