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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Empowering Social Sustainability Through Human centered HRC

Authors: Joan Lario, Francisco Fraile, Iveta Eimontaite, Sarah Fletcher;

Empowering Social Sustainability Through Human centered HRC

Abstract

The integration of Human-Robot Collaboration in manufacturing processes signifies a transformative shift towards safer, more efficient, and worker-centric production. Driven by the need for adaptable manufacturing, advanced technologies like machine vision algorithms and sensors have enhanced the accuracy and safety of robotic systems, transitioning from isolated robots to collaborative coworkers. The presented case studies in furniture, electronics, food and beverages, and printed circuit boards underscore the tangible benefits of Human-Robot Collaboration, including reduced manual labor, minimized exposure to hazards, and enhanced ergonomics. Five pilot cases were analyzed in terms of key human factors involved in the associated process illustrating the aspects of physical comfort, safety, and mental fatigue needed to be met to achieve social sustainability objectives. This approach represents a significant stride towards a more sustainable and harmonious coexistence between humans and robots in manufacturing which would allow the development of technology self-efficacy and worker upskilling/reskilling.

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Powered by OpenAIRE graph
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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!
0
Average
Average
Average
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