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.

This paper describes a concerted effort to design and implement a robotic service framework. The proposed framework is comprised of three conceptual spaces: physical, semantic, and virtual spaces, collectively referred to as a ubiquitous robotic space. We implemented a prototype robotic security application in an office environment, which confirmed that the proposed framework is an efficient tool for developing a robotic service employing IT infrastructure, particularly for integrating heterogeneous technologies and robotic platforms.

The increase in elderly population is emerging as a serious social issue. The coronavirus pandemic has increased the number of elderly people suffering from depression and loneliness owing to the lack of face-to-face activities. In this study, we developed an integrated system for the human-care robot service, considering cognitive and emotional support for elderly people, and verified its stability and usefulness in the real world. We recruited 40 elderly people for an apartment testbed environment experiment and two elderly people living alone for a long time participated in the experiment at their homes. Quantitative experimental results were analyzed by comparing service success rates and user satisfaction in two different test environments to verify the stability of the service. Qualitative evaluations were also conducted through surveys and interviews to assess the usefulness of the service.