人在回路中适应和重复使用机器人辅助政策,实现环境辅助生活

Ronnie Smith
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引用次数: 0

摘要

-环境辅助生活(AAL)解决方案的个性化和适应性是许多现有研究的主题,这些研究试图嵌入和/或学习用户的偏好和需求。然而,由于侧重于基于实验室的评估,人们很容易忽视未来环境辅助生活(AAL)的潜在现实:一系列异构平台、设备和机器人将产生大量必须在家庭内外共享的知识。因此,在未来 AAL 解决方案的各个方面都必须考虑可扩展性和互操作性。自适应即服务(AaaS)是作为一种高度专业化的服务提出的,其核心功能是根据个人的需求和愿望对智能家居和 AAL 系统进行个性化调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-in-the-Loop Adaptation and Reuse of Robot Assistance Policies for Ambient Assisted Living
—Personalisation and adaptation of Ambient Assisted Living (AAL) solutions is the subject of many existing works, which seek to embed and/or learn user preferences and needs. However, with a focus on lab-based evaluation, it has been easy to overlook the potential realities of what AAL might look like in the future: a range of heterogeneous platforms, devices, and robots will generate swathes of knowledge that must be shared, within and outside the home. As such, it is important to consider scalability and interoperability in every aspect of future AAL solutions. Adaptivity as a Service (AaaS) is proposed as a highly specialised service with a core function of personalising and adapting smart homes and AAL systems to the needs and wants of individuals.
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