RT info:eu-repo/semantics/article
T1 Exploiting visual cues for safe and flexible cyber-physical production systems
A1 Islam, Syed Osama Bin
A1 Lughmani, Waqas Akbar
A1 Qureshi, Waqar Shahid
A1 Khalid, Azfar
A1 Mariscal Saldaña, Miguel Ángel
A1 García Herrero, Susana
K1 Cyber-physical production system
K1 Human-robot collaboration
K1 Smart factory
K1 Social safety
K1 Collaborative robot
K1 Tecnología
K1 Technology
K1 Ingeniería mecánica
K1 Mechanical engineering
AB 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.
PB SAGE Publications
SN 1687-8140
YR 2019
FD 2019-12
LK http://hdl.handle.net/10259/9018
UL http://hdl.handle.net/10259/9018
LA eng
NO 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.
DS Repositorio Institucional de la Universidad de Burgos
RD 18-may-2024