2026-04-29T06:23:13Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/90182024-04-23T00:05:24Zcom_10259_5501com_10259_5086com_10259_2604col_10259_5502

Islam, Syed Osama Bin cd16aee7-5c4a-430f-82a8-bd075a7e89b1 600 Lughmani, Waqas Akbar cc37e132-8140-4296-8044-ab0c9cfc5e07 600 Qureshi, Waqar Shahid b770ad09-8cdf-44b4-8d2a-ed3184df8195 600 Khalid, Azfar 4acffa75-a8e3-4366-b0b2-a521c894d010 600 Mariscal Saldaña, Miguel Ángel 337 600 0000-0002-7897-9891 García Herrero, Susana 206 600 0000-0002-8061-9537 2024-04-22T11:25:59Z 2024-04-22T11:25:59Z 2019-12 1687-8140 http://hdl.handle.net/10259/9018 10.1177/1687814019897228 1687-8140 Human workers are envisioned to work alongside robots and other intelligent factory modules, and fulfill supervision tasks in future smart factories. Technological developments, during the last few years, in the field of smart factory automation have introduced the concept of cyber-physical systems, which further expanded to cyber-physical production systems. In this context, the role of collaborative robots is significant and depends largely on the advanced capabilities of collision detection, impedance control, and learning new tasks based on artificial intelligence. The system components, collaborative robots, and humans need to communicate for collective decision-making. This requires processing of shared information keeping in consideration the available knowledge, reasoning, and flexible systems that are resilient to the real-time dynamic changes on the industry floor as well as within the communication and computer network infrastructure. This article presents an ontology-based approach to solve industrial scenarios for safety applications in cyber-physical production systems. A case study of an industrial scenario is presented to validate the approach in which visual cues are used to detect and react to dynamic changes in real time. Multiple scenarios are tested for simultaneous detection and prioritization to enhance the learning surface of the intelligent production system with the goal to automate safety-based decisions. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research has been funded by the project “IMPACTO DE LA INDUSTRIA 4.0 EN LA PREVENCIÓN DE RIESGOS LABORALES. SENSIBILIZACIÓN EN LA INDUSTRIA DE CASTILLA Y LEÓN,” with the reference INVESTUN/18/BU/0005 and supported by funds from Consejeria de Empleo—Junta de Castilla y León. eng SAGE Publications Advances in Mechanical Engineering. 2019, V. 11, n. 12 https://doi.org/10.1177/1687814019897228 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Cyber-physical production system Human-robot collaboration Smart factory Social safety Collaborative robot Tecnología Technology Ingeniería mecánica Mechanical engineering Exploiting visual cues for safe and flexible cyber-physical production systems info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Advances in Mechanical Engineering 11 12 THUMBNAIL Islam-ame_2019.pdf.jpg Islam-ame_2019.pdf.jpg IM Thumbnail image/jpeg 3599 https://riubu.ubu.es/bitstream/10259/9018/4/Islam-ame_2019.pdf.jpg 0eef0669a7844b2d3c34cdf23f36e7f3 MD5 4 LICENSE license.txt license.txt text/plain; charset=utf-8 999 https://riubu.ubu.es/bitstream/10259/9018/3/license.txt b295bcbce42e2caabeb0c623d3860c06 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/9018/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Islam-ame_2019.pdf Islam-ame_2019.pdf application/pdf 4018994 https://riubu.ubu.es/bitstream/10259/9018/1/Islam-ame_2019.pdf 4b38e0c55db99645e3fc2abc86b6eea6 MD5 1 10259/9018 oai:riubu.ubu.es:10259/9018 2024-04-23 02:05:24.846 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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