Computational models of the recovery process in robot-assisted training

This chapter reviews the state of the art of computational models for neuromotor recovery, with a focus on state-space models that describe the development of functional behaviors through exercise and on the relation between neuromotor recovery and motor learning. We first review models of the dynamics of sensorimotor adaptation and motor skill learning. We then elaborate on similarities and differences with neuromotor recovery. We finally discuss how these models can be used to achieve a better understanding of the role of robots to promote recovery and to develop personalized forms of treatment.