We are interested in the effect of feedback on the rate and extent of motor skill learning and adaptation.  Our intent is to apply the results of our investigations to the design of a more effective strategy for the rehabilitation of recovering stroke patients.

Robotic rehabilitation for stroke patients has been an active field of research since the 1990s. There has been many studies focusing on mechanical design of robotic devices, design of software and interfaces for the patients and therapists, identifying quantitative and objective measures for motor improvement, and developing different operating modes/scenarios for the devices. However, a unified set of robotic (based on data captured by the robotic device) motor function improvement measures still does not exist.