医院自主运输中的人机互动

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Andreas Zachariae, Frederik Plahl, Yucheng Tang, Ilshat Mamaev, Björn Hein, Christian Wurll
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引用次数: 0

摘要

在全球人口老龄化和护理需求不断增长的推动下,将机器人技术融入护理工作是医疗保健领域的重大转变。护理机器人可以处理技术含量较低的任务,如运送病人和康复活动。这种支持使护理人员能够专注于不太繁重的护理工作,更直接地照顾病人。人机交互(HRI)在这一具有挑战性的环境中发挥着重要作用。在这项研究中,我们提出了一个基于 ROS 2 框架的医院自主运输系统,重点是加强医疗环境中的人机交互。该系统包括自主机器人行为控制架构的开发、用于紧急状况检测的机器学习的实施,以及为患者和工作人员创建的用户友好界面。所提出的概念已在德国三家不同医院的实际场景中得到验证。这不仅展示了该系统的实际应用,而且还分享了见解和方法,促进了医疗保健机器人技术领域的进一步发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-robot interactions in autonomous hospital transports

The integration of robotics in nursing is a significant shift in healthcare, driven by the aging global population and the increasing demand for care. Robots in nursing can handle less technical tasks such as patient transport and rehabilitation activities. This support allows caregivers to focus on less strenuous nursing duties and more direct patient care. Human-Robot Interaction (HRI) plays an important role in this challenging context. In this research, we present an autonomous hospital transport system based on the ROS 2 framework, focusing on enhancing HRI in the healthcare environment. It encompasses the development of a control architecture for autonomous robot behavior, the implementation of machine learning for emergency detection, and the creation of a user-friendly interface for both patients and staff. The proposed concepts were validated in real-world scenarios in three different hospitals in Germany. This not only demonstrates the practical application of this system but also shares insights and methods, encouraging further advancement in the field of healthcare robotics.

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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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