Recently, it has been considering robotics to face world population aging. According to the WHO, in 2050 there will be about 2.1 billion people over 60 years old worldwide causing a persistent growing need of assistance and a shortage of manpower for delivering congruous assistance. Therefore, seniors' QoL is continuously threatened. Socially Assistive Robotics proposes itself as a solution. To improve SARs acceptability, it is necessary to tailor the system's characteristics with respect to the target needs and issues through the analysis of previous and current studies in the HRI field. Through the examination of the state of the art of social robotics in elderly care, past case studies and paper research about SARs' efficiency, it has been proposed two potential solution examples for two different scenarios, applying two different SARs: Pepper and Nao robots.

翻译：近年来，机器人技术已被视为应对全球人口老龄化问题的手段。据世界卫生组织预测，到2050年，全球60岁以上人口将达约21亿，导致对辅助服务的需求持续增长，同时人力短缺难以提供充分照护。因此，老年人的生活质量持续面临威胁。社交辅助机器人技术（Socially Assistive Robotics, SAR）被提出作为解决方案。为提升SAR的接受度，需通过分析人机交互（HRI）领域的既往与当前研究，针对目标人群的需求与问题定制系统特性。通过梳理老年护理社交机器人技术现状、过往案例研究及SAR效能相关文献，本文针对两种不同场景提出两种潜在解决方案示例，分别应用了Pepper与Nao两款社交辅助机器人。