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Robotics
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Robots for Health and Elderly Care
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Robots for Health and Elderly Care

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Medical Robotics and Service Robotics".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 9442

Special Issue Editors

Prof. Dr. Angel P. Del Pobil

E-Mail Website
Guest Editor
Robotics Intelligence Lab (RobInLab), Department of Engineering and Computer Science, Universitat Jaume I, E-12071 Castellón, Spain
Interests: robotics; grasping
Dr. Ester Martinez-Martin

E-Mail Website
Guest Editor
Institute for Computing Research, University of Alicante, E-03690 Sant Vicent del Raspeig, Spain
Interests: assistive robotics; computer vision; deep learning; healthcare
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, the population ageing phenomenon has led to an unceasing need for healthcare systems to assist the elderly's cognitive and physical health. In this context, robotics can play an important role with respect to healthcare support and independent life, especially when problems related to ageing appear.

So, novel theoretical approaches or practical applications of all aspects involving elderly robotic assistance are welcomed. Reviews, datasets, benchmarks, and surveys of the state-of-the-art are also welcomed. Topics of interest to this Special Issue include, but are not limited to, the following topics:

  • Therapy robots
  • Rehabilitation robots
  • Telehealth
  • Healthcare robots
  • Companion robots
  • Activity planning robots

Prof. Dr. Angel P. Del Pobil
Dr. Ester Martinez-Martin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Robotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • assistive robots 
  • healthcare
  • elderly care

Published Papers (2 papers)

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Research

22 pages, 16811 KiB  
Article
Robotic Nursing Assistant Applications and Human Subject Tests through Patient Sitter and Patient Walker Tasks
by Cody Lee Lundberg, Hakki Erhan Sevil, Deborah Behan and Dan O. Popa
Robotics 2022, 11(3), 63; https://doi.org/10.3390/robotics11030063 - 16 May 2022
Cited by 2 | Viewed by 3910
Abstract
This study presents the implementation of basic nursing tasks and human subject tests with a mobile robotic platform (PR2) for hospital patients. The primary goal of this study is to define the requirements for a robotic nursing assistant platform. The overall designed application [...] Read more.
This study presents the implementation of basic nursing tasks and human subject tests with a mobile robotic platform (PR2) for hospital patients. The primary goal of this study is to define the requirements for a robotic nursing assistant platform. The overall designed application scenario consists of a PR2 robotic platform, a human subject as the patient, and a tablet for patient–robot communication. The PR2 robot understands the patient’s request and performs the requested task by performing automated action steps. Two categories and three tasks are defined as: patient sitter tasks, include object fetching and temperature measurement, and patient walker tasks, including supporting the patient while they are using the walker. For this designed scenario and these tasks, human subject tests are performed with 27 volunteers in the Assistive Robotics Laboratory at the University of Texas at Arlington Research Institute (UTARI). Results and observations from human subject tests are provided. These activities are part of a larger effort to establish adaptive robotic nursing assistants (ARNA) for physical tasks in hospital environments. Full article
(This article belongs to the Special Issue Robots for Health and Elderly Care)
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15 pages, 3994 KiB  
Article
Multidirectional Overground Robotic Training Leads to Improvements in Balance in Older Adults
by Lara A. Thompson, Mehdi Badache, Joao Augusto Renno Brusamolin, Marzieh Savadkoohi, Jelani Guise, Gabriel Velluto de Paiva, Pius Suh, Pablo Sanchez Guerrero and Devdas Shetty
Robotics 2021, 10(3), 101; https://doi.org/10.3390/robotics10030101 - 06 Aug 2021
Cited by 3 | Viewed by 3804
Abstract
For the rapidly growing aging demographic worldwide, robotic training methods could be impactful towards improving balance critical for everyday life. Here, we investigated the hypothesis that non-bodyweight supportive (nBWS) overground robotic balance training would lead to improvements in balance performance and balance confidence [...] Read more.
For the rapidly growing aging demographic worldwide, robotic training methods could be impactful towards improving balance critical for everyday life. Here, we investigated the hypothesis that non-bodyweight supportive (nBWS) overground robotic balance training would lead to improvements in balance performance and balance confidence in older adults. Sixteen healthy older participants (69.7 ± 6.7 years old) were trained while donning a harness from a distinctive NaviGAITor robotic system. A control group of 11 healthy participants (68.7 ± 5.0 years old) underwent the same training but without the robotic system. Training included 6 weeks of standing and walking tasks while modifying: (1) sensory information (i.e., with and without vision (eyes-open/closed), with more and fewer support surface cues (hard or foam surfaces)) and (2) base-of-support (wide, tandem and single-leg standing exercises). Prior to and post-training, balance ability and balance confidence were assessed via the balance error scoring system (BESS) and the Activities specific Balance Confidence (ABC) scale, respectively. Encouragingly, results showed that balance ability improved (i.e., BESS errors significantly decreased), particularly in the nBWS group, across nearly all test conditions. This result serves as an indication that robotic training has an impact on improving balance for healthy aging individuals. Full article
(This article belongs to the Special Issue Robots for Health and Elderly Care)
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