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Special Issue "Assistive Robots for Healthcare and Human-Robot Interaction"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Grazia D'Onofrio
E-Mail Website
Guest Editor
Fondazione Casa Sollievo della Sofferenza, Department of Medical Sciences, Complex Unit of Geriatrics Viale Cappuccini, 1, 71013 San Giovanni Rotondo (FG), Italy
Interests: geriatrics; neurocognitive disorders; psychological and behavioural symptoms; information and communication technologies; ambient assisted living
Special Issues and Collections in MDPI journals
Dr. Daniele Sancarlo
E-Mail Website
Guest Editor
Fondazione Casa Sollievo della Sofferenza, Department of Medical Sciences, Complex Unit of Geriatrics Viale Cappuccini, 1, 71013 San Giovanni Rotondo (FG), Italy
Interests: genetics; pharmacology; cognition disorders; neurodegenerative diseases; memory; clinical neuropsychology; cognitive neuropsychology; executive function; cognitive neuroscience; learning and memory

Special Issue Information

Dear Colleagues,

Assistive technologies like Assistive Robots (AR) are being considered as enablers to support the process of care giving, potentially enhancing patient well-being and decreasing caregiver workload. Currently, it needs to deepen the research about person-centered care, multimodal interaction, multimodal data collection, caregiver expectancy model to improve AR acceptability.

In light of these assumptions, the Human-Robot Interaction (HRI) field is devoted to understanding, designing, and assessing the robotic systems used by human being.

By definition, the interaction implicates the communication. In light of this assumption, research in the HRI field is increasingly focused on the development of robots equipped with intelligent communicative abilities, in particular speech-based natural-language conversational abilities. These efforts directly relate to the research area of computational linguistics, generally defined as “the subfield of computer science concerned with using computational techniques to learn, understand, and produce human language content”. The advances and results in computational linguistics provide a foundational background for the development of so-called Spoken Dialogue Systems, i.e., computer systems designed to interact with humans using spoken natural language. The ability to communicate using natural language is a fundamental requirement for a robot that interacts with human being. Then, spoken dialogue is generally considered as the most natural way for social human-robot interaction. The sensing technologies represent a key role in the HRI and new approaches or application of existing ones in novel way could be really significant in facilitating the improvement of this field and consequently in all the sub-fields related to it.

The central focus of this Special Issues will be to advance novel technologies applied in healthcare processes that have shown exceptional promise in models of HRI though the use of new sensors or methodologies capable to adapt, combine or improve the existing ones.  

The first important question concerns the modalities needed to sense the emotional state of people by the robot. Secondly, there is the problem of modelling the interaction between human and robot, not only on a haptic level, but also on an emotional level.

Dr. Grazia D'Onofrio
Dr. Daniele Sancarlo
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 papers will be 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. Sensors is an international peer-reviewed open access semimonthly 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 2200 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

  • development of new sensing methodologies to facilitate the HRI
  • improvement of existing technologies in HRI
  • application of multimodal approaches in HRI
  • role of emotional detection in the HRI
  • ethical aspects of HRI
  • value sensitive design in care robotics
  • patient centeredness
  • acceptability and usability assessment
  • impact of robot embodiment and how this affected the interactions

Published Papers (1 paper)

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Research

Article
User Local Coordinate-Based Accompanying Robot for Human Natural Movement of Daily Life
Sensors 2021, 21(11), 3889; https://doi.org/10.3390/s21113889 - 04 Jun 2021
Viewed by 516
Abstract
Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and context; the prerequisite is that the accompanying robot [...] Read more.
Considering the trend of aging societies, accompanying technology can help frail, elderly individuals participate in daily activities. The ideal accompanying robot should accompany the user in a proper position according to the activity scenarios and context; the prerequisite is that the accompanying robot should quickly move to a designated position and closely maintain it regardless of the direction in which the user moves. This paper proposes a user local coordinate-based strategy to satisfy this need. As a proof of concept, a novel “string-pot” approach was utilized to measure the position difference between the robot and the target. We implemented the control strategy and assessed its performance in our gait lab. The results showed that the robot can follow the user in the designated position while the user performs forward, backward, and lateral movements, turning, and walking along a curve. Full article
(This article belongs to the Special Issue Assistive Robots for Healthcare and Human-Robot Interaction)
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