Robot-Assisted Therapy and Motor Learning: An Active Learning Program for Stroke

Little is known about how individuals learn to utilize robot-trained movements during upper extremity (UE) activities in the home and community and whether specific instruction can enhance motor learning and carry-over.. Systematic reviews of robot-assisted therapy for the paretic UE confirm gains in motor capacity as measured by clinical assessments, but provide little evidence of improved UE performance during daily tasks and occupations. These findings may be attributed to the limited availability of rehabilitation robots to train the paretic hand and a primary focus on intensity of practice with little regard for other principles of motor learning and experience-dependent neuroplasticity. These principles, including the salience of training tasks, transfer of acquired skills to similar activities, and active engagement and problem solving, are key to task-oriented training paradigms in stroke (e.g. constraint-induced movement therapy) but have not been well integrated into robot-assisted therapy protocols. The transfer of robot-trained movements to UE activities within the home and community needs further exploration before widespread use in rehabilitation practice is expected.