Remote Control of Industry Robots Using Mobile Devices

  • Sławomir ŻółkiewskiEmail author
  • Krzysztof Galuszka
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 354)


Remote control, monitoring, programming or even service of industrial robots intend to be standard solutions in contemporary industry. Remote methods and applications are comfortable and safe answers for industrial challenges providing additional functionality and improving effectiveness and efficiency. The paper presents a design, experiment results and implementation of remote controlling, programming and monitoring an industrial robot using a mobile device as an element of a human-machine interface. The shown solution is based on mobile devices such as a smartphone or a tablet computer. LabVIEW applications were used to perform a communication interface between various elements of a manufacturing cell. Communication between the operator and the robot was carried out indirectly through PLC Siemens S7-300 inside a flexible manufacturing system. The logic controller and the robot controller R30iA was linked and integrated within the ProfibusDP network. MPI protocol was used to establish the connection between the controller and LabVIEW application. A hardware communication protocol used by PLC was converted into the OPC protocol. User interface enables control from a distance and is alternative to the local methods of control by instructions.


HMI (Human-Machine Interface) industrial robots remote control PLC (Programmable Logic Controller) Profibus OPC LabVIEW 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Baier, A., Zolkiewski, S.: Initial research of epoxy and polyester warp laminates testing on abrasive wear used in car sheathing. Eksploatacja i Niezawodnosc Maintenance and Reliability 15(1), 37–43 (2013)Google Scholar
  2. 2.
    Bokhonsky, A.I., Zolkiewski, S.: Modelling and analysis of elastic systems in motion. Monograph, vol. 338. Silesian University of Technology Press, Gliwice (2011)Google Scholar
  3. 3.
    Brogardh, T.: Present and future robot control development - An industrial perspective. Annual Reviews in Control 31, 69–79 (2007)CrossRefGoogle Scholar
  4. 4.
    Chen, L., Wei, H., Ferryman, J.: A survey of human motion analysis using depth imagery. Pattern Recognition Letters 34, 1995–2006 (2013)CrossRefGoogle Scholar
  5. 5.
    Chibani, A., Amirat, Y., Mohammeda, S., Matson, E., Hagita, N., Barreto, M.: Ubiquitous robotics: Recent challenges and future trends. Robotics and Autonomous Systems 61, 1162–1172 (2013)CrossRefGoogle Scholar
  6. 6.
    Chybowski, L.: Qualitative and Quantitative Multi-Criteria Models of the Importance of the Components in Reliability Structure of a Complex Technical System. Journal of KONBIN 4(24), 33–48 (2012)Google Scholar
  7. 7.
    Karlinski, J., Ptak, M., Dzialak, P.: Simulation tests of roll-over protection structure. Archives of Civil and Mechanical Engineering 13(1), 57–63 (2013)CrossRefGoogle Scholar
  8. 8.
    Osch, M., Bera, D., Hee, K., Koks, Y., Zeegers, H.: Tele-operated service robots: ROSE. Automation in Construction 39, 152–160 (2014)CrossRefGoogle Scholar
  9. 9.
    Pan, Z., Polden, J., Larkin, N., VanDuin, S., Norrish, J.: Recent progress on programming methods for industrial robots. Robotics and Computer-Integrated Manufacturing 28, 87–94 (2012)CrossRefGoogle Scholar
  10. 10.
    Ptak, M., Rusinski, E., Karlinski, J., Dragan, S.: Evaluation of kinematics of SUV to pedestrian impact - lower leg impactor and dummy approach. Archives of Civil and Mechanical Engineering 12(1), 68–73 (2012)CrossRefGoogle Scholar
  11. 11.
    Shou-Chih, L., Ti-Hsin, Y., Chih-Cheng, T.: A remote control and media-sharing system using smart devices. Journal of Systems Architecture 60, 671–683 (2014)CrossRefGoogle Scholar
  12. 12.
    Zolkiewski, S., Pioskowik, D.: Robot control and online programming by human gestures using a kinect motion sensor. Advances in Intelligent Systems and Computing. New Perspectives in Information Systems and Technologies 275, 593–605 (2014)Google Scholar
  13. 13.
    Zalewski, R., Pyrz, M.: Experimental study and modeling of polymer granular structures submitted to internal underpressure. Mechanics of Materials 57, 75–85 (2013)CrossRefGoogle Scholar
  14. 14.
    Zalewski, R., Nachman, J., Shillor, M., Bajkowski, J.: Dynamic Model for a Magnetorheological Damper. Applied Mathematical Modelling 38, 2366–2376 (2014)CrossRefMathSciNetGoogle Scholar
  15. 15.
    Zalewski, R., Szmidt, T.: Application of Special Granular Structures for semi-active damping of lateral beam vibrations. Engineering Structures 65, 13–20 (2014)CrossRefGoogle Scholar
  16. 16.
    Zolkiewski, S.: Dynamic Flexibility of Complex Damped Systems Vibrating Transversally in Transportation. Solid State Phenomena 164, 339–342 (2010)CrossRefGoogle Scholar
  17. 17.
    Zolkiewski, S.: Numerical Application for Dynamic Analysis of Rod and Beam Systems in Transportation. Solid State Phenomena 164, 343–348 (2010)CrossRefGoogle Scholar
  18. 18.
    Zolkiewski, S.: Attenuation-frequency Characteristics of Beam Systems in Spatial Motion. Solid State Phenomena 164, 349–354 (2010)CrossRefGoogle Scholar
  19. 19.
    Zolkiewski, S.: Damped Vibrations Problem of Beams Fixed on the Rotational Disk. International Journal of Bifurcation and Chaos 21(10 ), 3033–3041 (2011)CrossRefzbMATHGoogle Scholar
  20. 20.
    Zolkiewski, S.: Testing composite materials connected in bolt joints. Journal of Vibroengineering 13(4), 817–822 (2011)Google Scholar
  21. 21.
    Zolkiewski, S.: Dynamic flexibility of the supported-clamped beam in transportation. Journal of Vibroengineering 13(4), 810–816 (2011)Google Scholar
  22. 22.
    Zolkiewski, S.: Vibrations of beams with a variable cross-section fixed on rotational rigid disks. Latin American Journal of Solids and Structures 10, 39–57 (2013)CrossRefGoogle Scholar
  23. 23.
    Zolkiewski, S.: Diagnostics and transversal vibrations control of rotating beam by means of Campbell diagrams. Key Engineering Materials 588, 91–100 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of Engineering Processes Automation and Integrated Manufacturing SystemsSilesian University of TechnologyGliwicePoland
  2. 2.Aiut ServicesGliwicePoland

Personalised recommendations