00000naa a2200000 i 4500 193462916 LI-KaLABT 20240415132704.5 cr ||#|||||||| 240415e20240406xxk o eng 10.1016/j.rcim.2024.102769 doi 2-s2.0-85189748406 kitas SCOPUS_EID 1 kitas OA (SCOPUS_ID)85189748406 LI-KaTUB lit rda eng xxk T 007 LI-KaLABT mk T 007 LI-KaTUB institutional/mk Zafar, Muhammad Hamza, autorius. aut University of Agder Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: a state-of-the-art review / Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo. 2024. p. 1-29. tekstas txt rdacontent elektroninis c rdamedia interneto išteklius cr rdacarrier teksto failas rdaft PDF Laisvai prieinamas internete. Unrestricted online access LI-KaTUB star DB0231 Science Citation Index Expanded (Web of Science) DB00300 Scopus Industry 5.0 aims at establishing an inclusive, smart and sustainable production process that encourages human creativity and expertise by leveraging enhanced automation and machine intelligence. Collaborative robotics, or “cobotics”,is a major enabling technology of Industry 5.0, which aspires at improving human dexterity by elevating robots to extensions of human capabilities and, ultimately, even as team members. A pivotal element that has the potential to operate as an interface for the teaming aspiration of Industry 5.0 is the adoption of novel technologies such as virtual reality (VR), augmented reality (AR), mixed reality (MR) and haptics, together known as “augmentation”. Industry 5.0 also benefit from Digital Twins (DTs), which are digital representations of a physical assets that serves as their counterpart — or twins. Another essential component of Industry 5.0 is artificial intelligence (AI), which has the potential to create a more intelligent and efficient manufacturing process. In this study, a systematic review of the state of the art is presented to explore the synergies between cobots, DTs, augmentation, and Industry 5.0 for smart manufacturing. To the best of the author's knowledge, this is the first attempt in the literature to provide a comprehensive review of the synergies between the various components of Industry 5.0. This work aims at increasing the global efforts to realize the large variety of application possibilities offered by Industry 5.0 and to provide an up-to-date reference as a stepping-stone for new research and development within this field. Creative Commons – Attribution – 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/deed.en augmentation deep learning digital twins HRC Industry 5.0 Langås, Even Falkenberg, autorius. aut University of Agder Sanfilippo, Filippo, autorius. aut University of Agder Kauno technologijos universitetas LI-KaTUB (ORCID)0000-0002-1437-8368 (SCOPUS_AUTHOR_ID)55388355200 (RESEARCHERID)GZK-6594-2022 „Elsevier“ grupė leidėjas. pbl Robotics and computer-integrated manufacturing. Kidlington : Elsevier 0736-5845 1879-2537 2024, vol. 89, art. no. 102769 2024/89:102769/1 https://talpykla.elaba.lt/elaba-fedora/objects/elaba:193462916/datastreams/MAIN/content 1-s2.0-S0736584524000553-main.pdf application/pdf 0 S1 LI-KaLABT