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This study provides a systematic review of the recent advances in designingthe intelligent tutoring robot (ITR), and summarises the status quo of applyingartificial intelligence (AI) techniques. We first analyse the environment ofthe ITR and propose a relationship model for describing interactions of ITRwith the students, the social milieu and the curriculum. Then, we transform therelationship model into the perception-planning-action model for exploring whatAI techniques are suitable to be applied in the ITR. This article providesinsights on promoting human-robot teaching-learning process and AI-assistededucational techniques, illustrating the design guidelines and future researchperspectives in intelligent tutoring robots.

Artificial Intelligence in Intelligent Tutoring Robots: A Systematic Review and Design Guidelines