Mobile Robots group 		Interdisciplinary Links:

Artificial Science

List by research interests

  • Behaviour Control
  • Navigation
  • Assembly
  • Hardware, Sensory systems processing
  • Virtual Reality
  • Medical applications

    Behaviour Control

  • Allen, Kevin (k-allen@uwe.ac.uk)
    RI: Action selection mechanisms, based on animal behaviour, for controlling autonomous mobile robots.
    University of the West of England, Intelligent Autonomous Systems Engineering Laboratory

  • Bryson, Joanna (joannab@dai.ed.ac.uk)
    RI: Scaling behavior complexity in robots, modular learning
    University of Edinburgh, dept. of Psychology

  • Chocron, Olivier (chocron@robot.uvsq.fr)
    RI: Evolutionary Algorithms for Robot Adaptation
    University Pierre & Marie Curie (Paris VI, Fr), Mechanics/Robotics

  • Gillies, Eric (eric@aero.gla.ac.uk)
    RI: Non-linear Dynamics and Control, Artificial Neural Networks, feature extraction and fluid flow control.
    University of Glasgow, dept. of Aerospace Eng.

  • Hughes, Nigel
    RI: Hybrid Architecture for Mobile Robots
    University of Wales, Aberystwyth: Computer Science

  • Lee, Wei-Po (weipol@dai.ed.ac.uk)
    RI: Evolving hierarchical control system
    University of Edinburgh, dept. of Artificial Intelligence

  • Mottram, Bob (Bob@fuzzgun.demon.co.uk)
    RI: Mobile Robotics Reinforcement Learning Evolution of Communication and Language
    Private

  • Perkins, Simon (simonpe@dai.ed.ac.uk)
    RI: Incremental acquisition of complex robot behaviour using structured evolution, Robot Shaping
    University of Edinburgh, dept. of Artificial Intelligence

  • Smith, Andrew (ajs@cogsci.ed.ac.uk)
    RI: applications of neural nets to robotics, and in particular subsumption architectures
    University of Wales, Aberystwyth: Computer Science

  • Thrun, Sebastian
    Email:thrun@cs.cmu.edu
    RI: Mobile robotics and building control
    , Machine learning. Carnegie Mellon University, dept. of Computer Science
  • Wilson, Myra (mxw@aber.ac.uk)
    RI: Hierarchical behaviours for mobile robots, Behaviour-based Robotics both in assembly and mobile robot fields
    University of Wales, Aberystwyth: Computer Science

    Navigation

  • Egerton, Simon
    RI: Neural Network methods for mapping in mobile robots.
    University of Essex, dept. of Computer Science

  • Hallam, John (john@dai.ed.ac.uk)
    RI: Feature based continuous navigation techniques. Signal analysis and interpretation. Sensing, control and system integration for intelligent autonomous vehicles.
    University of Edinburgh, dept. of Artificial Intelligence.

  • Kazer, John (j.kazer@dcs.shef.ac.uk)
    RI: Biologically realistic neural networks in robotic navigation.
    University of Sheffield, dept. of Computer Science

  • Makatchev, Maxim (makatchev@usa.net)
    RI: Machine vision, mobile robot navigation, complexity of image processing and pattern recognition algorithms.
    City University of Hong Kong, dept. of Manufacturing Engineering and Engineering Management.

  • Prescott, Tony (T.J.Prescott@sheffield.ac.uk)
    RI: Computational models of spatial learning and navigation
    University of Sheffield, Dept. of Psychology

  • Recce, Michael (m.recce@ucl.ac.uk)
    RI: Neural basis of animal navigation, map-based navigation and exploration strategies in mobile robots, computational neuroscience
    University College London, dept. of Anatomy

  • Nehmzow, Ulrich (un@cs.man.ac.uk)
    RI: Mobile robot navigation , machine learning
    University of Manchester, dept. of Computer Science

  • Colombetti, Marco colombet@elet.polimi.it RI: Mapbuilding and route learning in mobile robot , Animats, Application of reinforcement learning to autonomous robotics
    Politecnico di Milano, Dipartimento di Elettronica e Informazione

    Assembly, Manufacturing

  • Altuna, Jon
    Email:Jon.Altuna@ee.ed.ac.uk
    RI: Robotics in Computer Integrated Manufacturing environments
    University of Edinburgh, dept. of Electrical Engineering

  • Deacon, Graham (ged@dai.ed.ac.uk)
    RI: Automated assembly; object manipulation strategies
    University of Edinburgh, Department of Artificial Intelligence

  • Malcolm, Chris (cam@dai.ed.ac.uk)
    RI: Philosophy of Mind as applied to robots, the Behaviour-based approach to assembly robotics.
    University of Edinburgh, dept. of Artificial Intelligence

  • Massios, Nikos (nikm@dai.ed.ac.uk)
    RI: Parallel/Distributed Computing, Mobile & Industrial Robotics, Machine Vision.
    University of Edinburgh, Department of Artificial Intelligence

    Hardware, Sensory systems processing

  • Wyss, Felix I. (felixw@dai.ed.ac.uk)
    RI: Robotics, Sensing, Human/computer interaction
    University of Edinburgh, dept. of Artificial Intelligence

  • Veelaert, Peter (peter.veelaert@elis.rug.ac.be)
    RI: Computer vision , mobile robots, active sensing,
    University of Ghent (Be):, Electronics and Information Processing

  • Armitage, Alistair (a.armitage@napier.ac.uk)
    RI: Sensors, Neural networks
    Napier University, Edinburgh, Electrical & Electronic Engineering

  • Bains, Sunny (sunny@spie.org)
    RI: Artificial intelligence hardware, especially nonconventional
    Technical Journalist

  • Budenberg, Bill (info@tracksys.demon.co.uk)
    RI: Computer aided Methods for recording, coding and analysing behaviour
    Private company

  • Gordon, John L. (j.gordon@nwaiag.internexus.co.uk)
    RI: NWAIAG company
    Promoting the application of Artificial Intelligence.
    Private company

    Virtual Reality

  • Wright, Mark (markwr@dai.ed.ac.uk)
    RI: Virtual Reality, Computer Vision, Robotics
    University of Edinburgh, dept. of Artificial Intelligence

    Medical Applications

  • Bartos, Martin (mxb@dcs.ed.ac.uk)
    RI: medical technology, vr technology, virtual fauna (and flora), evolutionary computation
    University of Edinburgh, dept. of Computer Science

  • Schmidt-Cornelius, Hanson (hanssc@dai.ed.ac.uk)
    RI: Evolutionary methods in robot control, Medical applications for robots, User friendly application software
    University of Edinburgh, dept. of Artificial Intelligence