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朱诺项目：在老年机构中部署和验证一个基于云的低成本机器人平台，用于可靠的智能导航和与人类的自然交互。

JUNO Project: Deployment and Validation of a Low-Cost Cloud-Based Robotic Platform for Reliable Smart Navigation and Natural Interaction with Humans in an Elderly Institution.

作者信息

Pavón-Pulido Nieves, Blasco-García Jesús Damián, López-Riquelme Juan Antonio, Feliu-Batlle Jorge, Oterino-Bono Roberto, Herrero María Trinidad

机构信息

Automation, Electrical Engineering and Electronic Technology Department, Industrial Engineering Technical School, Technical University of Cartagena, 30202 Cartagena, Spain.

Clinical and Experimental Neuroscience (NiCE), Institute for Aging Research, Biomedical Institute for Bio-Health Research of Murcia (IMIB-Arrixaca), School of Medicine, University of Murcia, Campus Mare Nostrum, 30120 Murcia, Spain.

出版信息

Sensors (Basel). 2023 Jan 2;23(1):483. doi: 10.3390/s23010483.

DOI:10.3390/s23010483
PMID:36617079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9824260/
Abstract

This paper describes the main results of the JUNO project, a proof of concept developed in the Region of Murcia in Spain, where a smart assistant robot with capabilities for smart navigation and natural human interaction has been developed and deployed, and it is being validated in an elderly institution with real elderly users. The robot is focused on helping people carry out cognitive stimulation exercises and other entertainment activities since it can detect and recognize people, safely navigate through the residence, and acquire information about attention while users are doing the mentioned exercises. All the information could be shared through the Cloud, if needed, and health professionals, caregivers and relatives could access such information by considering the highest standards of privacy required in these environments. Several tests have been performed to validate the system, which combines classic techniques and new Deep Learning-based methods to carry out the requested tasks, including semantic navigation, face detection and recognition, speech to text and text to speech translation, and natural language processing, working both in a local and Cloud-based environment, obtaining an economically affordable system. The paper also discusses the limitations of the platform and proposes several solutions to the detected drawbacks in this kind of complex environment, where the fragility of users should be also considered.

摘要

本文介绍了朱诺项目的主要成果。该项目是在西班牙穆尔西亚地区开展的一个概念验证项目，已开发并部署了一个具备智能导航和自然人际交互能力的智能辅助机器人，目前正在一家老年机构中与真正的老年用户一起进行验证。该机器人专注于帮助人们进行认知刺激练习和其他娱乐活动，因为它能够检测和识别人员，在住所内安全导航，并在用户进行上述练习时获取注意力方面的信息。如有需要，所有信息都可以通过云共享，医疗专业人员、护理人员和亲属可以按照这些环境所需的最高隐私标准访问此类信息。已经进行了多项测试来验证该系统，该系统结合了经典技术和新的基于深度学习的方法来执行所需任务，包括语义导航、面部检测和识别、语音转文本和文本转语音翻译以及自然语言处理，在本地和基于云的环境中均可运行，从而获得了一个经济实惠的系统。本文还讨论了该平台的局限性，并针对在这种复杂环境中检测到的缺点提出了几种解决方案，在这种环境中还应考虑用户的脆弱性。

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