2021
DOI: 10.1016/j.ifacol.2021.10.483
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Adoption of Collaborative Robotics in Industry 5.0. An Irish industry case study

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Cited by 41 publications
(13 citation statements)
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“…This evolution hinges on sophisticated strategies and approaches supported by progressive ICT [36]. 5IR principles can be applied across various aspects, spanning CPPS, data interoperability, and utilizing AI-based systems, 5G and 6G networks, augmented reality (AR), and collaborative robots to accomplish clever production methods [18,[37][38][39][40][41][42][43][44][45].…”
Section: Industry 50 Technologiesmentioning
confidence: 99%
“…This evolution hinges on sophisticated strategies and approaches supported by progressive ICT [36]. 5IR principles can be applied across various aspects, spanning CPPS, data interoperability, and utilizing AI-based systems, 5G and 6G networks, augmented reality (AR), and collaborative robots to accomplish clever production methods [18,[37][38][39][40][41][42][43][44][45].…”
Section: Industry 50 Technologiesmentioning
confidence: 99%
“…Manufacturers in the industry, who operated cobots, revealed that of the total time employees spent with their cobots, automation engineers accounted for 48%. Approximately half of the automation engineers' cobot duties were dedicated to programming [100]. In Section 6, the cobot vendors' claims will be compared with the observed skills required to program a cobot, to establish the validity of their claims and the effectiveness and suitability of the programs for their intended purposes and at their intended user levels.…”
Section: Epitomising the Marketing Messagementioning
confidence: 99%
“…That is why Longo et al (2020) discuss the implementation of value-oriented and ethical technology engineering in Industry 5.0 environment [14]. Doyle-Kend & Kopacek (2021) discussed an adoption of collaborative robots in Industry 5.0 which say will play an important role at 5th industrial (r)evolution, while on the case study of Irish industry showed that there are signs of awareness of importance of their implementation and benefits for the manufacturing [15]. Dimitropoulous et al ( 2021) presented a framework of a of an AI-based system for the modular manufacturing comprised of three modules.…”
Section: Literature Reviewmentioning
confidence: 99%