Universidad de Burgos RIUBU Principal Default Universidad de Burgos RIUBU Principal Default
  • español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Universidad de Burgos RIUBU Principal Default
  • Ayuda
  • Contactez-nous
  • Faire parvenir un commentaire
  • Acceso abierto
    • Archivar en RIUBU
    • Acuerdos editoriales para la publicación en acceso abierto
    • Controla tus derechos, facilita el acceso abierto
    • Sobre el acceso abierto y la UBU
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Parcourir

    Tout RIUBUCommunautés & CollectionsPar date de publicationAuteursTitresSujetsCette collectionPar date de publicationAuteursTitresSujets

    Mon compte

    Ouvrir une sessionS'inscrire

    Statistiques

    Statistiques d'usage de visualisation

    Compartir

    Voir le document 
    •   Accueil de RIUBU
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • Voir le document
    •   Accueil de RIUBU
    • E-Prints
    • Untitled
    • Untitled
    • Untitled
    • Voir le document

    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9018

    Título
    Exploiting visual cues for safe and flexible cyber-physical production systems
    Autor
    Islam, Syed Osama Bin
    Lughmani, Waqas Akbar
    Qureshi, Waqar Shahid
    Khalid, Azfar
    Mariscal Saldaña, Miguel ÁngelAutoridad UBU Orcid
    García Herrero, SusanaAutoridad UBU Orcid
    Publicado en
    Advances in Mechanical Engineering. 2019, V. 11, n. 12
    Editorial
    SAGE Publications
    Fecha de publicación
    2019-12
    ISSN
    1687-8140
    DOI
    10.1177/1687814019897228
    Résumé
    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.
    Palabras clave
    Cyber-physical production system
    Human-robot collaboration
    Smart factory
    Social safety
    Collaborative robot
    Materia
    Tecnología
    Technology
    Ingeniería mecánica
    Mechanical engineering
    URI
    http://hdl.handle.net/10259/9018
    Versión del editor
    https://doi.org/10.1177/1687814019897228
    Aparece en las colecciones
    • Untitled
    • Untitled
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Fichier(s) constituant ce document
    Nombre:
    Islam-ame_2019.pdf
    Tamaño:
    3.832Mo
    Formato:
    Adobe PDF
    Thumbnail
    Voir/Ouvrir

    Métricas

    Citas

    Academic Search
    Ver estadísticas de uso

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis
    Afficher la notice complète