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.

Bianco, F., Ognibene, D. (2019). Functional advantages of an adaptive theory of mind for robotics: A review of current architectures. In 2019 11th Computer Science and Electronic Engineering Conference, CEEC 2019 - Proceedings (pp.139-143). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/CEEC47804.2019.8974334].

Functional advantages of an adaptive theory of mind for robotics: A review of current architectures

Ognibene D.
2019

Abstract

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.
paper
Human-robot interaction; Intention recognition; Machine learning; Social Robotics; Theory of Mind;
English
11th Computer Science and Electronic Engineering Conference, CEEC 2019 18-20 Sept.
2019
2019 11th Computer Science and Electronic Engineering Conference, CEEC 2019 - Proceedings
978-1-7281-2952-5
2019
139
143
8974334
none
Bianco, F., Ognibene, D. (2019). Functional advantages of an adaptive theory of mind for robotics: A review of current architectures. In 2019 11th Computer Science and Electronic Engineering Conference, CEEC 2019 - Proceedings (pp.139-143). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/CEEC47804.2019.8974334].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/302034
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