Designing a humanoid robot integrated Exer-Learning-Interaction(ELI)

Abstract

This is a design of transitive gesture-based human-robot interaction (HRI) for enhancing elementary learning outcome of special need children. It is an experimental Precept Action Sequence (PAS) interaction module, incorporating Leap Motion and Soft bank humanoid robot NAO as an implementation platform. In the primary phase of this work restricted recognition and recall task designed, where natural hand movements of the children captured to train and repeat certain task synchronous with robot movements. Traditional learning contents are transformed with tailored action-reaction mapping for improving the learning experience by the children. It is observed that the playful interaction with a robot on context-dependent evaluation of learning contents make the children engaged and natural learning attention grows. Based on empirical experience, viable suggestions are mentioned for the systematic use of Closed Loop HRI(CLHRI) as an effective medium of addressing children with learning trouble. The work may also be extended as exer-learning, therapeutic exercise feedback etc.