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Volume 10
Issue 4
10.3390/robotics10040120
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Review

Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods

by
Mehdi Hellou
1,2,
Norina Gasteiger
1,3,
Jong Yoon Lim
1,
Minsu Jang
4 and
Ho Seok Ahn
1,*
1
Department of Electrical, Computer and Software Engineering, The University of Auckland, Auckland 1010, New Zealand
2
School of Engineering, The University of Manchester, Manchester M13 9PL, UK
3
School of Health Sciences, The University of Manchester, Manchester M13 9PL, UK
4
Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea
*
Author to whom correspondence should be addressed.
Robotics 2021, 10(4), 120; https://doi.org/10.3390/robotics10040120
Submission received: 6 October 2021 / Revised: 29 October 2021 / Accepted: 29 October 2021 / Published: 3 November 2021
(This article belongs to the Special Issue 10th Anniversary of Robotics—Feature Papers in Intelligent Robots and Mechatronics)
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Abstract

Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferences or personality of an individual when referring to personalization or to the social conventions or the culture of a country when referring to localization. However, there are different models that enable personalization and localization presented in the current literature, each with their advantages and drawbacks. This work aims to help researchers in the field of social robotics by reviewing and analyzing different papers in this domain. We specifically focus our review by exploring different robots that employ distinct models for the adaptation of the robot to its environment. Additionally, we study an array of methods used to adapt the nonverbal and verbal skills of social robots, including state-of-the-art techniques in artificial intelligence.
Keywords: human-robot interaction; social robotics; personalization; localization; adaptation human-robot interaction; social robotics; personalization; localization; adaptation

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MDPI and ACS Style

Hellou, M.; Gasteiger, N.; Lim, J.Y.; Jang, M.; Ahn, H.S. Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods. Robotics 2021, 10, 120. https://doi.org/10.3390/robotics10040120

AMA Style

Hellou M, Gasteiger N, Lim JY, Jang M, Ahn HS. Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods. Robotics. 2021; 10(4):120. https://doi.org/10.3390/robotics10040120

Chicago/Turabian Style

Hellou, Mehdi, Norina Gasteiger, Jong Yoon Lim, Minsu Jang, and Ho Seok Ahn. 2021. "Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods" Robotics 10, no. 4: 120. https://doi.org/10.3390/robotics10040120

APA Style

Hellou, M., Gasteiger, N., Lim, J. Y., Jang, M., & Ahn, H. S. (2021). Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods. Robotics, 10(4), 120. https://doi.org/10.3390/robotics10040120

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