Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Angel Dacal-Nieto"'
Autor:
Ainhoa Apraiz, Ganix Lasa, Francesca Montagna, Graziana Blandino, Erika Triviño-Tonato, Angel Dacal-Nieto
Publikováno v:
Systems, Vol 11, Iss 9, p 448 (2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This paper introduces a holistic an
Externí odkaz:
https://doaj.org/article/41abed19045048d1bbe03fb78ada01d5
Publikováno v:
International Journal on Cybernetics & Informatics. 12:1-17
Finishing operations represent a crucial stage in manufacturing, where it is necessary either to remove unwanted material from a part, or provide aspect features to it. This includes smoothing, polishing and machining-alike solutions. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd2af8b93da2e7ed6d5de7b5990c9535
https://doi.org/10.5121/ijci.2023.120116
https://doi.org/10.5121/ijci.2023.120116
Publikováno v:
Procedia Computer Science. 200:718-726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7653df9fb55ac58a041df8d1e9e917b4
https://doi.org/10.1016/j.procs.2022.01.270
https://doi.org/10.1016/j.procs.2022.01.270
Autor:
Angel Dacal-Nieto, Greg Agriopoulos, Teresa Méndez, Julián D. Calle, Rubén Paz-Cibeira, Vasilapostolos Ouranis, Carmen Fernández-González
Publikováno v:
Procedia Computer Science. 200:101-110
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ae08bee2d07c0c155e746c98d67695
https://doi.org/10.1016/j.procs.2022.01.209
https://doi.org/10.1016/j.procs.2022.01.209
Autor:
Iria Galinanes, Ruben Paz-Cibeira, Carmen Fernandez-Gonzalez, Pablo Martinez-Luquero, Juan Jose Areal, Pablo Lopez-Beiras, Angel Dacal-Nieto, Victor Alonso-Ramos
Publikováno v:
2022 10th International Conference on Control, Mechatronics and Automation (ICCMA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef5909e90f8381d8a0d79e370b9854ac
https://doi.org/10.1109/iccma56665.2022.10011623
https://doi.org/10.1109/iccma56665.2022.10011623
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031203183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd2bf2d48ed08b8e6da1d1a4efa542c0
https://doi.org/10.1007/978-3-031-20319-0_1
https://doi.org/10.1007/978-3-031-20319-0_1
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030703158
Uncertainty still remains about the suitability of a given exoskeleton or exosuit to a specific workstation. This is currently done by complex and controlled test experiences either in simulated or real environments. Thus, benchmarking seems a proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba85bc2cf8c4b70e572173f62fae29f5
https://doi.org/10.1007/978-3-030-70316-5_29
https://doi.org/10.1007/978-3-030-70316-5_29
Publikováno v:
Biosystems & Biorobotics ISBN: 9783030695460
Hand Guidance is a type of Human-Robot Collaboration with high interest in the manufacturing industry. In this paper, we present an ergonomic analysis of an assisted hand guidance operation of car door assembly that can also be applied to the wearabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55eb2c5ad491ac44d8b033d4758fb17
https://doi.org/10.1007/978-3-030-69547-7_20
https://doi.org/10.1007/978-3-030-69547-7_20
Publikováno v:
CIÊNCIAVITAE
Scopus-Elsevier
Scopus-Elsevier
Industry 4.0 is changing disruptively all the industrial processes from their base, and metrology is being challenged by this new ‘wave’ of rethinking industry. Therefore, new quality control systems are being conceived for measurement purposes,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc0c2e1b9d1479c72b4d6f9572da315e
https://doi.org/10.1016/j.promfg.2019.09.020
https://doi.org/10.1016/j.promfg.2019.09.020
Publikováno v:
CANDAR
Manufacturing companies are currently developing transformation plans from the 3.0 paradigm, based on automation, robotics and Lean, to the 4.0 approach, based on digitalization of production and data exploitation. In this paper, a specific case of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63fded648eb037707a60dac6a62c8321
https://doi.org/10.1109/candar51075.2020.00019
https://doi.org/10.1109/candar51075.2020.00019