TY - GEN
T1 - PHYSICAL AND VIRTUAL ROBOTIC CELLS IN INDUSTRY 4.0 TOWARDS INDUSTRY 5.0
T2 - ASME 2022 International Mechanical Engineering Congress and Exposition, IMECE 2022
AU - Kuts, Vladimir
AU - Singh, Maulshree
AU - Alsamhi, Saeed Hamood
AU - Devine, Declan
AU - Murray, Niall
N1 - Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - The Digital Twin (DT) in the manufacturing domain is already the everyday tool for visualizing the various industrial systems, equipment, and produced products. When designing a new manufacturing unit or enlarging an existing factory, it is important to do so without affecting the manufacturing process flow itself. There are opportunities through simulation and digital manufacturing to plan and optimize this design process. Within usage of the actual physical machinery data gathered from the Industrial Internet of Things (IIoT) sensors and feeding to the DT, optimizing the layout can be done more precisely and effectively. However, there is no way to test the potential equipment simultaneously with the physical one in real-time. This paper aims to propose a Mixed Reality (MR) based system framework and toolkit, which will enable physical industrial robots to interact with virtual equipment and other virtual robots. This way, via Virtual Reality (VR), it will be possible to design a system layout. Furthermore, via the Augmented Reality (AR) view, it will be possible to simulate the interaction between multiple robots by enhancing the possibilities of the physical environment and using the new precise scale real-time design method.
AB - The Digital Twin (DT) in the manufacturing domain is already the everyday tool for visualizing the various industrial systems, equipment, and produced products. When designing a new manufacturing unit or enlarging an existing factory, it is important to do so without affecting the manufacturing process flow itself. There are opportunities through simulation and digital manufacturing to plan and optimize this design process. Within usage of the actual physical machinery data gathered from the Industrial Internet of Things (IIoT) sensors and feeding to the DT, optimizing the layout can be done more precisely and effectively. However, there is no way to test the potential equipment simultaneously with the physical one in real-time. This paper aims to propose a Mixed Reality (MR) based system framework and toolkit, which will enable physical industrial robots to interact with virtual equipment and other virtual robots. This way, via Virtual Reality (VR), it will be possible to design a system layout. Furthermore, via the Augmented Reality (AR) view, it will be possible to simulate the interaction between multiple robots by enhancing the possibilities of the physical environment and using the new precise scale real-time design method.
KW - Digital Twin
KW - Industrial Robots
KW - Industry 4.0
KW - Industry 5.0
KW - Mixed Reality
UR - http://www.scopus.com/inward/record.url?scp=85148693090&partnerID=8YFLogxK
U2 - 10.1115/IMECE2022-95021
DO - 10.1115/IMECE2022-95021
M3 - Conference contribution
AN - SCOPUS:85148693090
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - American Society of Mechanical Engineers (ASME)
Y2 - 30 October 2022 through 3 November 2022
ER -
