  Great advancements have been achieved in the field of robotics, however, main
challenges remain, including building robots with an adaptive Theory of Mind
(ToM). In the present paper, seven current robotic architectures for
human-robot interactions were described as well as four main functional
advantages of equipping robots with an adaptive ToM. The aim of the present
paper was to determine in which way and how often ToM features are integrated
in the architectures analyzed, and if they provide robots with the associated
functional advantages. Our assessment shows that different methods are used to
implement ToM features in robotic architectures. Furthermore, while a ToM for
false-belief understanding and tracking is often built in social robotic
architectures, a ToM for proactivity, active perception and learning is less
common. Nonetheless, progresses towards better adaptive ToM features in robots
are warranted to provide them with full access to the advantages of having a
ToM resembling that of humans.
