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Human-Robot Collaboration (HRC) Technologies for Reducing Work-Related Musculoskeletal Diseases in Industry 4.0

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Conference object , Other literature type 13 Jun 2021 France, Netherlands, Italy English Publisher:Springer International PublishingFunded by:EC | SOPHIA
Authors: Ranavolo, Alberto; Chini, Giorgia; Draicchio, Francesco; Silvetti, Alessio; Varrecchia, Tiwana; Fiori, Lorenzo; Tatarelli, Antonella; +12 Authors

doi: 10.1007/978-3-030-74614-8_40 , 10.5281/zenodo.6940842 , 10.5281/zenodo.6940843

handle: 11583/2970273 , 11573/1617001 , 11568/1116004

Human-Robot Collaboration (HRC) Technologies for Reducing Work-Related Musculoskeletal Diseases in Industry 4.0

Abstract

The paper describes the activities of the European project SOPHIA, Socio-Physical Interaction Skills for Cooperative Human-Robot Systems in Agile Production. The consortium involves European partners from academia, research organizations and industry. Themain goal of the project is to develop a newgeneration of CoBots andWearbots and advanced instrumental-based biomechanical risk assessment tools in industrial scenarios to reduce work-related musculoskeletal disorders and to improve productivity in industry 4.0. Further aimof the project is to create the basis for newergonomic international Standards for manual handling activities.

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France, Netherlands, Italy
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Keywords

Return to work, [PHYS.MECA.BIOM] Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph], Biomechanical load, Workplace rehabilitation, Ergonomic, HRC, and Infrastructure, Biomechanical load; Ergonomic; HRC; Return to work; WMSDs; Workplace rehabilitation, Innovation, SDG 9 - Industry, WMSDs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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12
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3
28
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