ADAM: a robotic companion for enhanced quality of life in aging populations

IF 2.6 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Neurorobotics Pub Date : 2024-02-09 DOI:10.3389/fnbot.2024.1337608

Alicia Mora, Adrian Prados, Alberto Mendez, Gonzalo Espinoza, Pavel Gonzalez, Blanca Lopez, Victor Muñoz, Luis Moreno, Santiago Garrido, Ramon Barber

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Abstract

One of the major problems of today's society is the rapid aging of its population. Life expectancy is increasing, but the quality of life is not. Faced with the growing number of people who require cognitive or physical assistance, new technological tools are emerging to help them. In this article, we present the ADAM robot, a new robot designed for domestic physical assistance. It mainly consists of a mobile base, two arms with grippers and vision systems. All this allows the performance of physical tasks that require navigation and manipulation of the environment. Among ADAM's features are its modularity, its adaptability to indoor environments and its versatility to function as an experimental platform and for service applications. In addition, it is designed to work respecting the user's personal space and is collaborative, so it can learn from experiences taught by them. We present the design of the robot as well as examples of use in domestic environments both alone and in collaboration with other domestic platforms, demonstrating its potential.

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ADAM：提高老龄人口生活质量的机器人伴侣

当今社会的主要问题之一是人口迅速老龄化。预期寿命在延长，但生活质量却没有提高。面对越来越多的人需要认知或身体方面的帮助，新的技术工具正在出现，以帮助他们。在这篇文章中，我们将介绍 ADAM 机器人，这是一款专为家庭物理辅助而设计的新型机器人。它主要由一个移动底座、两个带抓手的手臂和视觉系统组成。所有这一切都使它能够完成需要导航和操纵环境的物理任务。ADAM 的特点包括模块化、对室内环境的适应性以及作为实验平台和服务应用的多功能性。此外，ADAM 的设计还尊重用户的个人空间，并具有协作性，因此可以从用户传授的经验中学习。我们介绍了该机器人的设计以及在家庭环境中单独使用或与其他家用平台合作使用的实例，展示了它的潜力。

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来源期刊

Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS

CiteScore

5.20

自引率

6.50%

发文量

250

审稿时长

14 weeks

期刊介绍： Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.