一个安全、高效和集成的室内机器人车队,用于医疗和商业空间的物流应用:背书概念

N. Ramdani, A. Panayides, Michalis Karamousadakis, M. Mellado, Rafael Lopez, C. Christophorou, Mohamed Rebiai, Myriam Blouin, E. Vellidou, D. Koutsouris
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引用次数: 13

摘要

医院理所当然地被认为是一个具有高商业潜力的室内物流机器人领域。然而,今天,只有少数移动机器人解决方案的医院物流存在,未能引发市场的广泛接受。这是因为现有系统需要昂贵的基础设施安装,它们不容易集成到企业IT解决方案中,不能充分屏蔽网络安全威胁,因此,它们不能完全自动化程序和可追溯性。此外,现有系统的范围有限,只注重提供服务,因此不向医务和护理人员提供任何其他类型的支助。背书系统将通过追求四个创新支柱来解决上述技术挑战和功能限制:(i)无基础设施的多机器人室内导航;(ii)先进的人机交互(HRI),在拥挤的环境中解决死锁和实现空间资源的有效共享;(iii)将背书软件部署为基于云的服务,促进其与企业软件解决方案的集成,并符合GDPR数据安全要求;(iv)可重新配置和模块化的硬件架构,使不同的模块可以很容易地交换。背书功能将通过集成电子诊断支持模块来展示,该模块用于移动机器人车队的生命体征监测,促进与基于云的电子健康记录(EHR)的连接,并在运营医院环境中进行验证,以进行现实评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Safe, Efficient and Integrated Indoor Robotic Fleet for Logistic Applications in Healthcare and Commercial Spaces: The ENDORSE Concept
Hospitals are rightfully considered a field of indoor logistic robotics of high commercial potential. However, today, only a handful of mobile robotic solutions for hospital logistics exist that have failed to trigger widespread acceptance by the market. This is because existing systems require costly infrastructure installation, they do not easily integrate to corporate IT solutions, are not adequately shielded from cybersecurity threats, and as a result, they do not fully automate procedures and traceability of the items they carry. Moreover, existing systems are limited on scope, focusing only on delivery services, and hence do not provide any other type of support to the medical and nursing staff. ENDORSE system will address the aforementioned technical challenges and functional limitations by pursuing four innovation pillars: (i) infrastructure-less multi-robot indoor navigation; (ii) advanced Human-Robot Interaction (HRI) for resolving deadlocks and achieving efficient sharing of space resources in crowded environments; (iii) deployment of the ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions, complying with GDPR data security requirements; (iv) reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. ENDORSE functionality will be demonstrated via the integration of an e-diagnostic support module for vital signs monitoring on a fleet of mobile robots, facilitating connectivity to cloud-based Electronic Health Records (EHR), and validated in an operational hospital environment for realistic assessment.
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