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Digital Twin based synchronised control and simulation of the industrial robotic cell using Virtual Reality

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
During the years common understanding of the possibilities and perspectives of Virtual Reality (VR) usage has been changed. It is thought that VR is mainly used in entertainment purposes, but it is being used already for many years in different industries, and now with easier access to the hardware it became a helpful and accessible tool that could be used and developed in any field of human activities. In manufacturing, immersive technologies are mainly used nowadays for the visualisation of processes and products combining those visuals into the factory Digital Twin (DT) which is possible to view from the inside look. This feature is already being used in several manufacturing simulation tools, which enable to view onto industrial line / robotic cells via Virtual Reality glasses. However, the potential of using simulations with VR in manufacturing is not fully uncovered. The main aim of this, industrial robotics targeted research is to enable besides simulation also universal control algorithms through Virtual Reality experience, produced by game engine Unity3D, which can be easily modified for a wide range of industrial equipment. The primary outcome of this work is the development of the synchronisation model of real and virtual industrial robots and experimental testing the developed model in Virtual Reality and shop floor labs.
Rocznik
Strony
128--145
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • Tallinn University of Technology, School of Engineering, Department of Mechanical and Industrial Engineering, Estonia, Tallinn
autor
  • Tallinn University of Technology, School of Engineering, Department of Mechanical and Industrial Engineering, Estonia, Tallinn
  • Tallinn University of Technology, School of Engineering, Department of Mechanical and Industrial Engineering, Estonia, Tallinn
  • Tallinn University of Technology, School of Engineering, Department of Mechanical and Industrial Engineering, Estonia, Tallinn
Bibliografia
  • [1] OYEKAN J.O, HUTABARAT W., TIWARI A., et al., 2019, The effectiveness of virtual environments in developing collaborative strategies between industrial robots and humans, Robotics and Computer-Integrated Manufacturing, 55, 41–54.
  • [2] KOT T., NOVÁK P., BAJAK J., 2018, Using HoloLens to Create a Virtual Operator Station for Mobile Robots, 19th International Carpathian Control Conference (ICCC), Szilvasvarad, 422–427.
  • [3] CHEN C., SU B., GUO M., ZHONG Y., YANG Y., KUO H.L, 2018, Applying virtual reality to control of logical control mechanism system, IEEE International Conference on Applied System Invention (ICASI), Chiba, 520–523.
  • [4] COVACIU F., PISLA.A., CARBONE G., PUSKAS F., VAIDA. C., PISLA D., 2018, VR interface for cooperative robots applied in dynamic environments, IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca, 1–6.
  • [5] KOSE A., PETLENKOV E., TEPLJAKOV A., VASSILJEVA K., 2017, Virtual Reality Meets Intelligence in Large Scale Architecture, De Paolis L., Bourdot P., Mongelli A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics, AVR 2017. Lecture Notes in Computer Science, 10325. Springer, Cham, Ugento (Lecce), Italy.
  • [6] KOSE A., TEPLJAKOV A., ASTAPOV S., DRAHEIM D., PETLENKOV E.K., VASSILJEVA K., 2018, Towards a Synesthesia Laboratory: Real-time Localization and Visualization of a Sound Source for Virtual Reality Applications, Journal of Communications Software and Systems, 14/1, 112–120.
  • [7] BURDEA G.C., 1999, Invited review: the synergy between virtual reality and robotics, IEEE Transactions on Robotics and Automation, 15/3, 400–410.
  • [8] MCNEELY W.A., 1993, Robotic graphics: a new approach to force feedback for virtual reality, Proceedings of IEEE Virtual Reality Annual International Symposium, Seattle, WA, USA, 336–341.
  • [9] JI W., YIN S., WANG L., 2018, A Virtual Training Based Programming-Free Automatic Assembly Approach for Future Industry, IEEE Access, 6, 43865–43873.
  • [10] MINER N.E., STANSFIELD S.A., 1994, An interactive virtual reality simulation system for robot control and operator training, Proceedings of the IEEE International Conference on Robotics and Automation, San Diego, CA, USA, 2, 1428–1435.
  • [11] GUCWA K.J., CHENG H.H, 2018, RoboSim: a simulation environment for programming virtual robots, Engineering with Computers, 34/3, 475–485.
  • [12] KUTS V., SARKANS M., OTTO T., TÄHEMAA T., 2017, Collaborative Work Between Human And Industrial Robot in Manufacturing by Advanced Safety Monitoring System, Proceedings of the 28th DAAAM International Symposium, Vienna.
  • [13] VUNDER V., VALNER R., MCMAHON C., KRUUSAMÄE K., PRYOR M., 2018, Improved Situational Awareness in ROS Using Panospheric Vision and Virtual Reality, 1th International Conference on Human System Interaction (HSI), Gdansk, 471–477.
  • [14] SURESH A., GABA D., BHAMBRI S., LAHA D., 2019, Intelligent Multi-fingered Dexterous Hand Using Virtual Reality (VR) and Robot Operating System (ROS), Kim JH. et al. (eds), Robot Intelligence Technology and Applications 5, RiTA 2017, Advances in Intelligent Systems and Computing, 751, 459-474.
  • [15] ROLDÁN J.J., PEÑA-TAPIA E., GARZÓN-RAMOS D., JORGE DE LEÓN, GARZÓN M., JAIME DEL CERRO, 2019, Multi-robot Systems, Virtual Reality and ROS: Developing a New Generation of Operator Interfaces, Koubaa A. (eds), Robot Operating System (ROS), Studies in Computational Intelligence, 778, 29–64.
  • [16] MODONI G.E., SACCO M., TERKAJ W., 2016, A telemetry-driven approach to simulate data-intensive manufacturing processes, 49th CIRP Conference on Manufacturing Systems, Stuttgart.
  • [17] KUTS V., MODONI G.E., TERKAJ W., TÄHEMAA T., SACCO M., OTTO T., 2017, Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell, Augmented Reality, Virtual Reality, and Computer Graphics, 1: 4th International Conference, AVR 2017, Ugento, Italy.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-864b3bb2-f435-4a9e-af97-ab8b3470a8c8
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