Research in the lab investigates the effects of instability and uncertainty on the control of movement and posture.

Experiments use a combination of approaches involving virtual reality, robotic interfaces, kinetic and kinematic analyses.

Coupled with computational models, these investigations will provide greater insight into the interplay between the biomechanical and sensorimotor processes underlying human movement control and decision-making. Projects in the lab investigate:

  1. The role of effort and reward in decision making and movement control
  2. Risk-sensitivity in movement control and adaptation
  3. The role of metabolic cost in motor learning
  4. Effect of age and coactivation on movement control
  5. Motor control and learning in Parkinson's Disease and Multiple Sclerosis
  6. Dynamics learning and generalization for postural control
  7. Using the Wii Balance Board for teaching biomechanics
  8. Optimal Foraging in movements