Autonomous social robotics for pediatric assistance and active aging

Fernando Fernández Rebollo


    Fernando Fernández Rebollo


    Universidad Carlos III de Madrid, Spain


    In traditional neurorehabilitation therapies, there is often a loss of interest and engagement due to their intrinsic characteristics. They are repetitive, long, hard, boring and sometimes they need to be performed during childhood. Therapists need to spend much time motivating their patients and their relatives. RoboTherapist is a general framework for hands-off robotic rehabilitation activities focused on promoting the patients’ motivation while meeting the clinical criteria. Its main beneficiaries are pediatric and geriatric patients with motor or cognitive disorders, but not limited to this. The market potential involves hospitals, associations, insurance providers and rehabilitation units.

    A sophisticated Artificial Intelligence system provides the robot with enough autonomy to drive a whole rehabilitation session without human intervention, reacting coherently to unexpected situations. The system is very easy to configure, eases the inclusion of new activities and can generate precise clinical reports automatically. In this sense, the platform can be extended to other types of patients such as the elderly for the treatment of dementia and active aging. It also makes it possible to extend the objective conditions in the area of pediatrics such as autism, diabetes, education, etc. Moreover, the system is simple to configure for other sensors and other similar robots. In fact, expansion possibilities are another distinctive key of RoboTherapist that offers an additional value over its competitors.