  This study provides a systematic review of the recent advances in designing
the intelligent tutoring robot (ITR), and summarises the status quo of applying
artificial intelligence (AI) techniques. We first analyse the environment of
the ITR and propose a relationship model for describing interactions of ITR
with the students, the social milieu and the curriculum. Then, we transform the
relationship model into the perception-planning-action model for exploring what
AI techniques are suitable to be applied in the ITR. This article provides
insights on promoting human-robot teaching-learning process and AI-assisted
educational techniques, illustrating the design guidelines and future research
perspectives in intelligent tutoring robots.
