Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Fabio Marco Monetti"'
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1760 (2023)
Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm and are spreading at high speed in production. Main applications include design, training, and assembly guidance. The latter is a pressing concern, because a
Externí odkaz:
https://doaj.org/article/f617df3ec0644021a6cab3ce467c0e5c
Autor:
Alessandro Iop, Victor Gabriel El-Hajj, Maria Gharios, Andrea de Giorgio, Fabio Marco Monetti, Erik Edström, Adrian Elmi-Terander, Mario Romero
Publikováno v:
Sensors, Vol 22, Iss 16, p 6067 (2022)
Surgical simulation practices have witnessed a rapid expansion as an invaluable approach to resident training in recent years. One emerging way of implementing simulation is the adoption of extended reality (XR) technologies, which enable trainees to
Externí odkaz:
https://doaj.org/article/ca82f1278d714dedb9bde00c5d58675f
Autor:
Fan Mo, Fabio Marco Monetti, Agajan Torayev, Hamood Ur Rehman, Jose A. Mulet Alberola, Nathaly Rea Minango, Hien Ngoc Nguyen, Antonio Maffei, Jack C. Chaplin
Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require system robustness, flexibility,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bde7f2f1ae755849440e052948f690a
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327407
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327407
Autor:
Fan Mo, Hamood Ur Rehman, Fabio Marco Monetti, Jack C. Chaplin, David Sanderson, Atanas Popov, Antonio Maffei, Svetan Ratchev
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 82:102524
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2847caf17a3d16861434152107927545
https://doi.org/10.1016/j.rcim.2022.102524
https://doi.org/10.1016/j.rcim.2022.102524
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031183256
Learning factories are realistic manufacturing environments built for education; many universities have recently introduced learning factories in engineering programs to tackle real industrial problems; however, statistical studies on its effectivene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1b3bd930176af9e88298a728acec9a
https://doi.org/10.1007/978-3-031-18326-3_27
https://doi.org/10.1007/978-3-031-18326-3_27
Autor:
Fan Mo, Fabio Marco Monetti, Agajan Torayev, Hamood Ur Rehman, Jose A. Mulet Alberola, Nathaly Rea Minango, Hien Ngoc Nguyen, Antonio Maffei, Jack C. Chaplin
Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require system robustness, flexibility,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4951eaa399e403dd74e53a80935a89bf
https://doi.org/10.21203/rs.3.rs-2105738/v1
https://doi.org/10.21203/rs.3.rs-2105738/v1
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6dc775ee8cf9f92e84a5a84be74ca7
https://doi.org/10.1109/med54222.2022.9837167
https://doi.org/10.1109/med54222.2022.9837167
The fourth industrial revolution is based on a few technological advancements that promise an industrial transformation based on achieving sharing and circular economies. Selecting and applying these advancements correctly, i.e., following relevant v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54bbea70068093205db94675ed40eeb9
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321490
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321490
Autor:
Fan Mo, Jack C. Chaplin, David Sanderson, Hamood Ur Rehman, Fabio Marco Monetti, Antonio Maffei, Svetan Ratchev
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031183256
The application of digital twins and artificial intelligence to manufacturing has shown potential in improving system resilience, responsiveness, and productivity. Traditional digital twin approaches are generally applied to single, static systems to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec732c86f28fd378641a5c40ad0e207
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321493
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321493