Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends

Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independently, and recover quality of life. These benefits...

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Main Authors: Uriel Martinez-Hernandez, Benjamin Metcalfe, Tareq Assaf, Leen Jabban, James Male, Dingguo Zhang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/20/6751
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author Uriel Martinez-Hernandez
Benjamin Metcalfe
Tareq Assaf
Leen Jabban
James Male
Dingguo Zhang
author_facet Uriel Martinez-Hernandez
Benjamin Metcalfe
Tareq Assaf
Leen Jabban
James Male
Dingguo Zhang
author_sort Uriel Martinez-Hernandez
collection DOAJ
description Wearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independently, and recover quality of life. These benefits to society have motivated the study of several robotic approaches, developing systems ranging from rigid to soft robots with single and multimodal sensing, heuristics and machine learning methods, and from manual to autonomous control for assistance of the upper and lower limbs. This type of wearable robotic technology, being in direct contact and interaction with the body, needs to comply with a variety of requirements to make the system and assistance efficient, safe and usable on a daily basis by the individual. This paper presents a brief review of the progress achieved in recent years, the current challenges and trends for the design and deployment of wearable assistive robotics including the clinical and user need, material and sensing technology, machine learning methods for perception and control, adaptability and acceptability, datasets and standards, and translation from lab to the real world.
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spelling doaj.art-7b186a6db1fb4426bdde8d44bab991c62023-11-22T19:56:54ZengMDPI AGSensors1424-82202021-10-012120675110.3390/s21206751Wearable Assistive Robotics: A Perspective on Current Challenges and Future TrendsUriel Martinez-Hernandez0Benjamin Metcalfe1Tareq Assaf2Leen Jabban3James Male4Dingguo Zhang5Multimodal Inte-R-Action Lab, University of Bath, Bath BA2 7AY, UKCentre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UKCentre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UKCentre for Biosensors, Bioelectronics and Biodevices (C3Bio), University of Bath, Bath BA2 7AY, UKMultimodal Inte-R-Action Lab, University of Bath, Bath BA2 7AY, UKCentre for Autonomous Robotics (CENTAUR), University of Bath, Bath BA2 7AY, UKWearable assistive robotics is an emerging technology with the potential to assist humans with sensorimotor impairments to perform daily activities. This assistance enables individuals to be physically and socially active, perform activities independently, and recover quality of life. These benefits to society have motivated the study of several robotic approaches, developing systems ranging from rigid to soft robots with single and multimodal sensing, heuristics and machine learning methods, and from manual to autonomous control for assistance of the upper and lower limbs. This type of wearable robotic technology, being in direct contact and interaction with the body, needs to comply with a variety of requirements to make the system and assistance efficient, safe and usable on a daily basis by the individual. This paper presents a brief review of the progress achieved in recent years, the current challenges and trends for the design and deployment of wearable assistive robotics including the clinical and user need, material and sensing technology, machine learning methods for perception and control, adaptability and acceptability, datasets and standards, and translation from lab to the real world.https://www.mdpi.com/1424-8220/21/20/6751wearable assistive roboticswearable sensorsmachine learninghuman factorsstandards
spellingShingle Uriel Martinez-Hernandez
Benjamin Metcalfe
Tareq Assaf
Leen Jabban
James Male
Dingguo Zhang
Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
Sensors
wearable assistive robotics
wearable sensors
machine learning
human factors
standards
title Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
title_full Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
title_fullStr Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
title_full_unstemmed Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
title_short Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends
title_sort wearable assistive robotics a perspective on current challenges and future trends
topic wearable assistive robotics
wearable sensors
machine learning
human factors
standards
url https://www.mdpi.com/1424-8220/21/20/6751
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