Preserving Movement Variability in Robotic Training

This lecture discusses the use of Model Predictive Controllers (MPCs) in robotic training to support motor learning by preserving movement variability. It covers topics such as haptic guidance, the role of MPCs in neurorehabilitation, a study testing MPCs in a virtual environment, different groups and results of the study, highlighting how MPCs can preserve variability and limit interaction forces.