A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics
Assistive and rehabilitation devices are a promising and challenging field of recent robotics research. Motivated by societal needs such as aging populations, such devices can support motor functionality and subject training. The design, control, sensing, and assessment of the devices become more so...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2017-05-01
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Series: | Frontiers in Neurorobotics |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fnbot.2017.00024/full |
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author | Philipp Beckerle Gionata Salvietti Ramazan Unal Domenico Prattichizzo Simone Rossi Claudio Castellini Sandra Hirche Satoshi Endo Heni Ben Amor Matei Ciocarlie Fulvio Mastrogiovanni Brenna D. Argall Brenna D. Argall Brenna D. Argall Brenna D. Argall Matteo Bianchi Matteo Bianchi |
author_facet | Philipp Beckerle Gionata Salvietti Ramazan Unal Domenico Prattichizzo Simone Rossi Claudio Castellini Sandra Hirche Satoshi Endo Heni Ben Amor Matei Ciocarlie Fulvio Mastrogiovanni Brenna D. Argall Brenna D. Argall Brenna D. Argall Brenna D. Argall Matteo Bianchi Matteo Bianchi |
author_sort | Philipp Beckerle |
collection | DOAJ |
description | Assistive and rehabilitation devices are a promising and challenging field of recent robotics research. Motivated by societal needs such as aging populations, such devices can support motor functionality and subject training. The design, control, sensing, and assessment of the devices become more sophisticated due to a human in the loop. This paper gives a human–robot interaction perspective on current issues and opportunities in the field. On the topic of control and machine learning, approaches that support but do not distract subjects are reviewed. Options to provide sensory user feedback that are currently missing from robotic devices are outlined. Parallels between device acceptance and affective computing are made. Furthermore, requirements for functional assessment protocols that relate to real-world tasks are discussed. In all topic areas, the design of human-oriented frameworks and methods is dominated by challenges related to the close interaction between the human and robotic device. This paper discusses the aforementioned aspects in order to open up new perspectives for future robotic solutions. |
first_indexed | 2024-04-12T00:58:47Z |
format | Article |
id | doaj.art-2e11bfeadd8c491486ef86227deced3f |
institution | Directory Open Access Journal |
issn | 1662-5218 |
language | English |
last_indexed | 2024-04-12T00:58:47Z |
publishDate | 2017-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neurorobotics |
spelling | doaj.art-2e11bfeadd8c491486ef86227deced3f2022-12-22T03:54:31ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182017-05-011110.3389/fnbot.2017.00024261180A Human–Robot Interaction Perspective on Assistive and Rehabilitation RoboticsPhilipp Beckerle0Gionata Salvietti1Ramazan Unal2Domenico Prattichizzo3Simone Rossi4Claudio Castellini5Sandra Hirche6Satoshi Endo7Heni Ben Amor8Matei Ciocarlie9Fulvio Mastrogiovanni10Brenna D. Argall11Brenna D. Argall12Brenna D. Argall13Brenna D. Argall14Matteo Bianchi15Matteo Bianchi16Institute for Mechatronic Systems, Mechanical Engineering, Technische Universität Darmstadt, Darmstadt, GermanyHuman Centered Robotics Group, SIRSLab, Department of Information Engineering and Mathematics, University of Siena, Siena, ItalyDepartment of Mechanical Engineering, Abdullah Gul University, Kayseri, TurkeyHuman Centered Robotics Group, SIRSLab, Department of Information Engineering and Mathematics, University of Siena, Siena, ItalyUnit of Neurology and Clinical Neurophysiology, Department of Medicine, Surgery and Neuroscience, Section of Human Physiology, University of Siena, Siena, ItalyInstitute of Robotics and Mechatronics, DLR German Aerospace Center, Oberpfaffenhofen, GermanyTechnische Universität München, Munich, GermanyTechnische Universität München, Munich, GermanyInteractive Robotics Laboratory, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, United StatesDepartment of Mechanical Engineering, Columbia University, New York, NY, United StatesDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy0Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, United States1Department of Mechanical Engineering, Northwestern University, Evanston, IL, United States2Department of Physical Medicine and Rehabilitation, Northwestern University, Evanston, IL, United States3Rehabilitation Institute of Chicago, Chicago IL, United States4Research Centre “Enrico Piaggio”, University of Pisa, Pisa, Italy5Department of Information Engineering, University of Pisa, Pisa, ItalyAssistive and rehabilitation devices are a promising and challenging field of recent robotics research. Motivated by societal needs such as aging populations, such devices can support motor functionality and subject training. The design, control, sensing, and assessment of the devices become more sophisticated due to a human in the loop. This paper gives a human–robot interaction perspective on current issues and opportunities in the field. On the topic of control and machine learning, approaches that support but do not distract subjects are reviewed. Options to provide sensory user feedback that are currently missing from robotic devices are outlined. Parallels between device acceptance and affective computing are made. Furthermore, requirements for functional assessment protocols that relate to real-world tasks are discussed. In all topic areas, the design of human-oriented frameworks and methods is dominated by challenges related to the close interaction between the human and robotic device. This paper discusses the aforementioned aspects in order to open up new perspectives for future robotic solutions.http://journal.frontiersin.org/article/10.3389/fnbot.2017.00024/fullhuman–robot interactionhuman-oriented designlearning and controlsensory feedbackaffective computingfunctional assessment |
spellingShingle | Philipp Beckerle Gionata Salvietti Ramazan Unal Domenico Prattichizzo Simone Rossi Claudio Castellini Sandra Hirche Satoshi Endo Heni Ben Amor Matei Ciocarlie Fulvio Mastrogiovanni Brenna D. Argall Brenna D. Argall Brenna D. Argall Brenna D. Argall Matteo Bianchi Matteo Bianchi A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics Frontiers in Neurorobotics human–robot interaction human-oriented design learning and control sensory feedback affective computing functional assessment |
title | A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics |
title_full | A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics |
title_fullStr | A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics |
title_full_unstemmed | A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics |
title_short | A Human–Robot Interaction Perspective on Assistive and Rehabilitation Robotics |
title_sort | human robot interaction perspective on assistive and rehabilitation robotics |
topic | human–robot interaction human-oriented design learning and control sensory feedback affective computing functional assessment |
url | http://journal.frontiersin.org/article/10.3389/fnbot.2017.00024/full |
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