To examine the computations underlying sensorimotor control, we have developed a research programme that uses computational techniques from machine learning, control theory and signal processing together with novel experimental techniques that include robotic interfaces and virtual reality systems that allow for precise experimental control over sensory inputs and task variables. We have also developed a set of robotic interfaces (vBOTS) to study the control of movement. Our lab equipment includes

Robotic interfaces

  • vBOT
  • Phantom 3.0
  • Phantom 1.5
  • Phantom 1.0

Force transducers

  • Range of ATI 6 axis force transducers

Motion tracking

  • Optotrak
  • Liberty polhemus
  • Flock birds
  • Data glove
  • Accelerometers

Video recording

  • Photron high speed camera


  • Sensoray 626
  • Various NIDAQ


* Delsys EMG
  • Neurolog EMG
  • Stanmore stimulator


  • Plato spec
  • Crystal eyes x 2
  • Circular polarisers & Glasses

Best viewed with Firefox 3, Safari 4 or Explorer 8. 2009 Computational & Biological Learning Lab, Department of Engineering, University of Cambridge