The group uses engineering approaches to understand how the human brain controls movement. The work includes both computational modelling and experimental approaches using robotic and virtual reality interfaces. Research areas include motor planning and optimal control, probabilistic (Bayesian) models, motor predictive and modular approaches to motor learning.
