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

Academic Staff


  • Margarita Chli:  Computer Vision for Robotics: real-time perception for computationally constrained platforms
  • Vittorio Ferrari:  Computer vision: weakly supervised learning of visual models, object class detection, human pose estimation, images-text association
  • Maurice Fallon: Multi-sensor perception, Simultaneous localization and mapping (SLAM), Bipedal locomotion and manipulation
  • Bob Fisher:  Model-based vision, 3D/range data interpretation and applications, video sequence analysis
  • Michael HerrmannNeurorobotics, self-organisation of behaviour, prosthetic control, computational neuroscience of ageing, neuroinformatics
  • Taku KomuraComputer graphics, robotics and biomechanics: human motion analysis and synthesis, physically-based animation and real-time computer graphics
  • Subramanian RamamoorthyDecision Making over Time and under Uncertainty, Robust Autonomy in 'Large Worlds', Learning in Robots and Multiagent Systems
  • Barbara WebbPerceptual systems for the control of behaviour, robot models of animals, simulation of neural circuits

Visiting Academic


  • Gwendolijn Schropp: multi-agent systems modelling, AI, plan recognition/intent inference in a robot soccer domain
  • Yu Li:
  • Michele Volpi:


Associate Academic Staff

  • Chris MalcolmBehaviour-based robotic assembly and planning, machines with minds
  • Tim CollesMobile robot programming languages
  • Austin Tate:  Planning and activity management
  • Chris WilliamsMachine learning and computer vision
  • David WillshawConstruction of networks of neurons and the computations performed by them

Research Staff

  • Bastiaan BoomComputer Vision, Pattern Classification and Image Processing
  • Myung Geol Choi: Computer Graphics, Crowd Planning and Control, Data-Driven Character Animation, HCI for Communication of Human Motion Information
  • Hassan MahmudTransfer 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 NakanishiMotor learning and control of robotic systems, dynamical systems
  • He WangComputer graphics, Deformable object control, Physical simulation, Human Computer Interaction and Motion Analysis and synthesis. 
  • Alexander Vezhnevets: Machine learning and computer vision: weakly supervised learning, semantic segmentation, object recognition.
  • Luca Del Pero: Computer vision and machine learning, with a focus on learning visual models of object categories from videos.
  • Gregory Mills:

PhD Research Students

Administrative Staff

Technical Support


  • Anthony Ashbrook3D vision, statistical modelling of visual data, dynamic models
  • Richard Baldock: 
  • Joanna BrysonAgent 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 RenshawAnalog & digital MOS circuit design, CMOS VLSI image sensors and sensor-processors applications of image processing
  • Qiang ShenModel based control, fuzzy systems, pattern recognition
  • Steve Wall
  • Gordon Watson
  • Mark Wright
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