Ergonomic human-robot collaboration in industry: A review
In the current industrial context, the importance of assessing and improving workers’ health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting thei...
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| Published in: | Frontiers in robotics and AI Vol. 9; p. 813907 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Switzerland
Frontiers Media S.A
03.01.2023
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| ISSN: | 2296-9144, 2296-9144 |
| Online Access: | Get full text |
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| Abstract | In the current industrial context, the importance of assessing and improving workers’ health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts’ needs and limits. To this end, a thorough and comprehensive evaluation of an individual’s ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot’s behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces. |
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| AbstractList | In the current industrial context, the importance of assessing and improving workers’ health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts’ needs and limits. To this end, a thorough and comprehensive evaluation of an individual’s ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot’s behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces. In the current industrial context, the importance of assessing and improving workers' health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts' needs and limits. To this end, a thorough and comprehensive evaluation of an individual's ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot's behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces.In the current industrial context, the importance of assessing and improving workers' health conditions is widely recognised. Both physical and psycho-social factors contribute to jeopardising the underlying comfort and well-being, boosting the occurrence of diseases and injuries, and affecting their quality of life. Human-robot interaction and collaboration frameworks stand out among the possible solutions to prevent and mitigate workplace risk factors. The increasingly advanced control strategies and planning schemes featured by collaborative robots have the potential to foster fruitful and efficient coordination during the execution of hybrid tasks, by meeting their human counterparts' needs and limits. To this end, a thorough and comprehensive evaluation of an individual's ergonomics, i.e. direct effect of workload on the human psycho-physical state, must be taken into account. In this review article, we provide an overview of the existing ergonomics assessment tools as well as the available monitoring technologies to drive and adapt a collaborative robot's behaviour. Preliminary attempts of ergonomic human-robot collaboration frameworks are presented next, discussing state-of-the-art limitations and challenges. Future trends and promising themes are finally highlighted, aiming to promote safety, health, and equality in worldwide workplaces. |
| Author | Gholami, Soheil Lagomarsino, Marta Fortini, Luca Ajoudani, Arash Lorenzini, Marta |
| AuthorAffiliation | 1 Human-Robot Interfaces and Physical Interaction Laboratory , Italian Institute of Technology , Genoa , Italy 2 Neuroengineering and Medical Robotics Laboratory , Department of Electronics, Information and Bioengineering , Polytechnic University of Milan , Milan , Italy |
| AuthorAffiliation_xml | – name: 2 Neuroengineering and Medical Robotics Laboratory , Department of Electronics, Information and Bioengineering , Polytechnic University of Milan , Milan , Italy – name: 1 Human-Robot Interfaces and Physical Interaction Laboratory , Italian Institute of Technology , Genoa , Italy |
| Author_xml | – sequence: 1 givenname: Marta surname: Lorenzini fullname: Lorenzini, Marta – sequence: 2 givenname: Marta surname: Lagomarsino fullname: Lagomarsino, Marta – sequence: 3 givenname: Luca surname: Fortini fullname: Fortini, Luca – sequence: 4 givenname: Soheil surname: Gholami fullname: Gholami, Soheil – sequence: 5 givenname: Arash surname: Ajoudani fullname: Ajoudani, Arash |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36743294$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2023 Lorenzini, Lagomarsino, Fortini, Gholami and Ajoudani. Copyright © 2023 Lorenzini, Lagomarsino, Fortini, Gholami and Ajoudani. 2023 Lorenzini, Lagomarsino, Fortini, Gholami and Ajoudani |
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| Keywords | human-robot interaction collaborative robots industry human-robot collaboration ergonomics human factors |
| Language | English |
| License | Copyright © 2023 Lorenzini, Lagomarsino, Fortini, Gholami and Ajoudani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| Title | Ergonomic human-robot collaboration in industry: A review |
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