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IPAB people

Director

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

Academic Staff

  • Vittorio Ferrari:  Computer vision: weakly supervised learning of visual models, object class detection, human pose estimation, images-text association
  • 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
  • Barbara Webb:  Perceptual systems for the control of behaviour, robot models of animals, simulation of neural circuits

Visiting Academic

  • Shin'ichiro Nakaoka:  Whole body motion composition of biped humanoid robots, robotics software platform

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
  • Myung Geol Choi: Computer Graphics, Crowd Planning and Control, Data-Driven Character Animation, HCI for Communication of Human Motion Information
  • Hassan Mahmud:  Transfer learning, Kolmogorov complexity theory, learning in partially observable environments, multi-agent learning
  • Michael Mangan:  Investigating the visual navigational strategies employed by desert ants which accurately relocate their nest after long foraging journeys; a feat made all the more amazing given their hostile environment, their (relatively) tiny brain, and low resolution vision. Understanding the mechanisms driving these behaviours is of interest to both biology and robotics communities
  • Jun Nakanishi:  Motor learning and control of robotic systems, dynamical systems

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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
  • Dumitru Alexe:
  • 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
  • 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
  • Anestis Papazoglou:
  • Georgios Petrou:  Investigation of cricket phonotactic behaviour
  • Andreea Radulescu:  Doing multi-link reaching with VIA in the floating base formulation
  • 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
  • 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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