Robotics Agent Coacher for CP motor Function (RAC CP Fun)

accepted by the World Health Organization, the novel algorithms of RAC CP Fun aim to facilitate children's activity and participation through pleasurable game-like human-robot interaction. At the same time, these algorithms utilize the motor learning approach, which is based on principles of repetition, stages of learning, appropriate feedback, random practice, and enriched environments. In this paper we introduce the experimental architecture, scenarios, and architectural design of RAC CP Fun, and findings from pilot experiments. Implementation of socially assistive robotics in neuromuscular rehabilitation may also stimulate the development of new treatment interventions for a wide variety of diseases and disorders through effective physiotherapy practice.