Collaborative Research: NRI: Remotely Operated Reconfigurable Walker Robots for Eldercare

合作研究：NRI：用于老年护理的远程操作可重构步行机器人

• 批准号: 2133072
• 负责人: Haruhiko Asada
• 金额: $ 62.02万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133072&HistoricalAwards=false
• 关键词: Collaborative; Research; NRI; Remotely; Operated

Over 80% of people who have died of COVID-19 in the United States were of age 65 or older, and many of them were nursing home residents and staff, because current in-person eldercare practices caused numerous cluster infection cases in these facilities. The pandemic has also severely impacted visiting nurses, home care, day care, and other in-person eldercare services, and as a result many seniors have been left isolated with little or no interaction with the broader community, which often leads to mental and psychological disorders. Because current nursing practices and systems have proven to be so vulnerable, those in need of such services would be better served if in-person eldercare could be supplemented by other means. This project explores an alternative remote-nursing approach based on tele-medicine and robotic technologies, which aims to deliver quality care services safely in individual homes and institutions through a network of people and equipment.Mobility is a fundamental function that elderly people must retain to live independently, but mobility assistance requires physical interactions and is currently dependent on in-person care. This research will develop a multi-functional, reconfigurable, mobility-assistance robot that is operated and supervised remotely by caregivers and clinical staff who can communicate with the user through the robotic system, the work to include three thrusts: the ability of the robot to alter its footprint when necessary to enable it to fit through narrow doorways and work in cluttered residential environments while providing seamless support in daily activities such as transportation and sit-to-stand transition; the ability to protect a user with declining balance issues from falls that might result in taking a hard hit on a floor by changing to an untippable configuration; and providing remote caregivers with help in executing physical interactions with older adults in a safe and engaging manner, because most physical assistance procedures entail a cooperative attitude from the care recipient. With a remote caregiver in the loop, the robot can monitor the behavior and mental state of the user and guide them through the assistive procedure so that they may be better engaged and become cooperative. Human subject tests will be conducted at a rehabilitation hospital to demonstrate and verify the new technology in a realistic setting.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在美国死于新冠肺炎的人中，超过80%的人年龄在65岁或以上，其中许多人是疗养院的居民和工作人员，因为目前的面对面老年人护理做法在这些设施中导致了大量集群感染病例。大流行还严重影响了来访护士、家庭护理、日间护理和其他亲身护理服务，结果是许多老年人被孤立，与更广泛的社区很少或根本没有互动，这往往会导致精神和心理障碍。由于目前的护理做法和制度已被证明是如此脆弱，如果可以通过其他方式补充面对面的老年护理，那些需要这种服务的人将得到更好的服务。该项目探索了一种基于远程医疗和机器人技术的替代远程护理方法，旨在通过人员和设备网络在个人家庭和机构中安全地提供高质量的护理服务。行动能力是老年人必须保留的基本功能，才能独立生活，但行动援助需要物理互动，目前依赖于面对面的护理。这项研究将开发一种多功能、可重构的移动辅助机器人，由护理人员和临床工作人员远程操作和监督，他们可以通过机器人系统与用户进行交流，工作包括三个方面：机器人能够在必要时改变足迹，使其能够穿过狭窄的门道，并在杂乱的居住环境中工作，同时在日常活动中提供无缝支持，如运输和从坐到站的转换；保护平衡下降的用户免受摔倒的能力，这种摔倒可能会导致通过改变不可靠的配置而在地板上受到重击；以及为远程照顾者提供帮助，帮助他们以安全和参与的方式与老年人进行身体互动，因为大多数身体援助程序都需要接受照顾者的合作态度。在回路中有远程护理者的情况下，机器人可以监控用户的行为和精神状态，并引导他们完成辅助程序，以便他们更好地参与并变得合作。人体主体测试将在康复医院进行，以在现实环境中演示和验证新技术。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A Data-Driven Approach to Positioning Grab Bars in the Sagittal Plane for Elderly Persons.

一种在老年人矢状面定位扶手的数据驱动方法。

• 发表时间: 2023
• 期刊: Proc. of the 2023 IEEE International Conference on Robot and Human Interactive Communication
• 作者: Roberto Bolli, Jr. and

Time-Critical Fall Prediction Based on Lipschitz Data Analysis and Design of a Reconfigurable Walker for Preventing Fall Injuries

• DOI: 10.1109/access.2023.3347263
• 发表时间: 2024
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Emily A. Kamienski;Ieee Paolo Bonato Graduate Student Member;I. H. H. A. Senior Member-I.-H.-H.-A.-Senior-Member-2278473099;Emily A. Kamienski

Monitoring the Mental State of Cooperativeness for Guiding an Elderly Person in Sit-to-Stand Assistance

监测老人协助坐立的配合心理状态

• DOI: 10.1109/icra46639.2022.9812422
• 发表时间: 2022
• 期刊: 2022 IEEE International conference on robotics and automation
• 作者: Bell, John;Harry Asada, H.
• 通讯作者: Harry Asada, H.

Enhancing Elderly Mobility: A Sturdy, Two-Body Robot for Handlebar Placement in Any Location

• DOI: 10.1109/lra.2024.3359549
• 发表时间: 2024-03
• 期刊: IEEE Robotics and Automation Letters
• 影响因子: 5.2
• 作者: Ieee Roberto Bolli Jr Graduate Student Member;Ieee H. Harry Asada Life Fellow

A Handle Robot for Providing Bodily Support to Elderly Persons

为老年人提供身体支持的手柄机器人

• DOI: 10.1109/iros55552.2023.10341348
• 发表时间: 2023
• 期刊: IEEE
• 作者: Bolli, Roberto;Bonato, Paolo;Harry Asada, H.
• 通讯作者: Harry Asada, H.