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A method of verifying the robot's trajectory for goals with a shared workspace

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Języki publikacji
EN
Abstrakty
EN
The latest market research (Fanuc Polska 2019) shows that the robotization of the Polish industry is accelerating. More and more companies are investing in robotic production lines, which enable greater efficiency of implemented processes and reduce labour costs. The article presents the possibilities of using virtual reality (VR) for behavioural analysis in open robotic systems with a shared workspace. The aim of the article is to develop a method of verification of programmed movements of an industrial robot in terms of safety and efficiency in systems with a shared workspace. The method of the robot program verification on the digital model of the working cell made in VR will be checked. The obtained research results indicate a great potential of this method in industrial applications as well as for educational purposes.
Słowa kluczowe
Rocznik
Strony
37--44
Opis fizyczny
Bibliogr. 31 poz., fig., tab.
Twórcy
  • Lublin University of Technology, Faculty of Mechanical Engineering, Poland
  • Lublin University of Technology, Faculty of Mechanical Engineering, Poland
  • Lublin University of Technology, Faculty of Mechanical Engineering, Poland
  • Lublin University of Technology, Faculty of Mechanical Engineering, Poland
autor
  • Lublin University of Technology, Faculty of Mechanical Engineering, Department of Automation, Nadbystrzycka 36, 20-618 Lublin, Poland
  • Lublin University of Technology, Faculty of Mechanical Engineering, Department of Automation, Nadbystrzycka 36, 20-618 Lublin, Poland
Bibliografia
  • [1] Bistak, M., Medvecky, S., Gajdosova, E., Dzimko, M., Gramblicka, S., Kohar, R., Stopka, M., Steininger, J., Hrcek, S., Tropp, M., & Brumercik, F. (2017). Applications of modern technologies in the production of aircraft propeller prototype. Communications - Scientific Letters of the University of Zilina, 19(2), 54–59. https://doi.org/10.26552/com.C.2017.2A.54-59
  • [2] Blatnický, M., Dižo, J., & Timošcuk, M. (2016). Design of a three-finger robot manipulator. Manufacturing Technology, 16(3), 485–489.
  • [3] Blatnický, M., Dižo, J., Barta, D., & Droździel, P. (2020). FEM analysis of main parts of a manipulator for mountig a compressor to a car equipped with a pneumatic suspension system. Diagnostyka, 21(2), 87–94. https://doi.org/10.29354/diag/122549
  • [4] Blatnický, M., Dižo, J., Gerlici, J., Sága, M., Lack, T., & Kuba, E. (2020). Design of a robotic manipulator for handling products of automotive industry. International Journal of Advanced Robotic Systems, 17(1), 1–11. https://doi.org/10.1177/1729881420906290
  • [5] Bogucki, M., Stączek, P., & Płaska, S. (2003). Methods of improving quality product and process using experimental techniques. Second International CAMT Conference (Centre for Advanced Manufacturing Technologies), Modern Trends in Manufacturing (pp. 15–20).
  • [6] Burdea, G. C. (1999). Invited review: the synergy between virtual reality and robotics. IEEE Transactions on Robotics and Automation, 15(3), 400–410. https://doi.org/10.1109/70.768174.
  • [7] Cechowicz, R. (2003). An approach to flexible scheduling in job shop manufacturing system. Second International CAMT Conference (Centre for Advanced Manufacturing Technologies), Modern Trends in Manufacturing (pp. 27–35).
  • [8] 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) (pp. 520–523). IEEE. https://doi.org/10.1109/ICASI.2018.8394302
  • [9] Collaborative Robot Safety Made Simple. (2020). https://sickusablog.com/collaborative-robot-safety-made-simple
  • [10] 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) (pp. 1–6). IEEE. https://doi.org/10.1109/AQTR.2018.8402734
  • [11] Ehmanna, D., & Wittenberg, C. (2018). The idea of Virtual Teach-In in the field of industrial robotics. 2018 IEEE 14th International Conference on Control and Automation (ICCA) (pp. 680–685). IEEE. http://dx.doi.org/10.1109/ICCA.2018.8444250
  • [12] Fedorko, G. (2021). Application possibilities of virtual reality in failure analysis of conveyor belts. Engineering Failure Analysis, 128, 105615. https://doi.org/10.1016/j.engfailanal.2021.105615
  • [13] FreeMove — Veo Robotics. (2020). https://www.veobot.com/freemove
  • [14] Gola, A. (2014). Economic aspects of manufacturing systems design. Actual Problems of Economics, 156(6), 205–212.
  • [15] Gola, A., Plinta, D., & Grznar, P. (2021). Modelling and simulation of reconfigurable manufacturing system for machining of casing-class parts. Engineering for Rural Development, 20, 1563–1568.
  • [16] Heydaryan, S., Suaza Bedolla, J., & Belingardi, G. (2018). Safety Design and Development of a Human-Robot Collaboration Assembly Process in the Automotive Industry. Applied Sciences, 8(3), 344. https://doi.org/10.3390/app8030344
  • [17] Ji, W., Yin, S., & Wang, L. (2018). A virtual training based programming-free automatic assembly approach for future industry. IEEE Access, 6, 43865–43873. https://doi.org/10.1109/ACCESS.2018.2863697
  • [18] Klačková, I., Kuric, I., Zajacko, I., & Tucki, K. (2020). Energy and economical aspects of implementation of virtual reality in robotized technology systems. ICETA 2020 – 18th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings (pp. 318–322). IEEE. https://doi.org/10.1109/ICETA51985.2020.9379176
  • [19] Klarak, J., Kuric, I., Cisar, M., Stanček, J., Hajducik, A., & Tucki, K. (2021). Processing 3D data from laser sensor into visual content using pattern recognition. 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 543–549). IEEE. https://doi.org/10.1109/ICIEA52957.2021.9436712
  • [20] 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. http://dx.doi.org/10.24138/jcomss.v14i1.410
  • [21] Kot, T., Novák, P., & Bajak, J. (2018). Using HoloLens to Create a Virtual Operator Station for Mobile Robots. 19th International Carpathian Control Conference (ICCC) (pp. 422–427). IEEE. https://doi.org/10.1109/CarpathianCC.2018.8399667
  • [22] Kuts, V, Otto, T., Tähemaa, T., & Bondarenko, Y. (2019). Digital Twin based synchronised control and simulation of the industrial robotic cell using Virtual Reality. Journal of Machine Engineering, 19(1), 128–144. https://doi.org/10.5604/01.3001.0013.0464
  • [23] Oyekan, J. O., Hutabarat, W., Tiwari, A., Grech, R., Aung, M. H., Mariani, M. P., López-Dávalos, L., Ricaud, T., Singh, S., & Dupuis, C. (2019). The effectiveness of virtual environments in developing collaborative strategies between industrial robots and humans. Robotics and Computer-Integrated Manufacturing, 55, 41–54. https://doi.org/10.1016/j.rcim.2018.07.006
  • [24] Shen, W. (2020). Research on virtual simulation design of ABB robot welding operation based on Robotstudio. IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (pp. 894–897). IEEE. http://dx.doi.org/10.1109/ICAICA50127.2020.9182551
  • [25] Sobaszek, Ł., Gola, A., & Świć, A. (2022). The algorithms for robust scheduling of production jobs under machine failure and variable technological operation times. Lecture Notes in Mechanical Engineering, (pp. 56–67). Springer. https://doi.org/10.1007/978-3-030-78170-5_6
  • [26] Stączek, P., Bogucki, M., & Płaska, S. (2003). Fuzzy logic in supervising of complex technological processes. Second International CAMT Conference (Centre for Advanced Manufacturing Technologies), Modern Trends in Manufacturing (pp. 351–360).
  • [27] Świć, A., & Gola, A. (2013). Economic analysis of casing parts production in a flexible manufacturing system. Actual Problems of Economics, 141(3), 526–533.
  • [28] Togias, T., Gkournelos, C., Angelakis, P., Michalos, G., & Makris, S. (2021). Virtual reality environment for industrial robot control and path design. Procedia CIRP, 100, 133–138. https://doi.org/10.1016/j.procir.2021.05.021
  • [29] Vosniakos, G. C., Ouillon, L., & Matsas, E. (2019). Exploration of two safety strategies in human-robot collaborative manufacturing using Virtual Reality. Procedia Manufacturing, 38, 524–531. https://doi.org/10.1016/j.promfg.2020.01.066
  • [30] Wang, Q., Cheng, Y., Jiao, W., Johnson, M. T., & Zhang, Y. M. (2019). Virtual reality human-robot collaborative welding: a case study of weaving gas tungsten arc welding. Journal of Manufacturing Processes, 48, 210–217. https://doi.org/10.1016/j.jmapro.2019.10.016
  • [31] Wpływ robotyzacji na konkurencyjność polskich przedsiębiorstw III edycja. (2019). Instytut Prognoz i Analiz Gospodarczych. Fanuc Polska Sp z o.o.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6cccaa0d-f3c0-4764-bb60-0fc53bdfeca0
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