Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Artificial Intelligence in Intelligent Tutoring Robots: A Systematic
  Review and Design Guidelines   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.

19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin