Advertisement

Review on Human–Robot Interaction During Collaboration in a Shared Workspace

  • Rinat Galin
  • Roman MeshcheryakovEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11659)

Abstract

Collaboration humans and robots in close proximity in a shared workspace is a stimulating feature of Industry 4.0. Collaborative robotics solution provides for the production processes the benefits due to the characteristic properties of robots. These properties include high level of accuracy, speed and repeatability. In combination with the flexibility and cognitive skills of humans the process of human-robot interaction achieves an efficient human-robot collaboration. Today’s topical issue research include problems of developing safer robots in human-machine systems. In considering the issue of safety human-robot interaction should be taken into account regulations and standards. A key challenge of human-robot collaboration is deciding how to distribute functions between human and robot to provide efficient interaction. This paper is a review on history of the robotic automation and modern research including Russian experience.

Keywords

Robotic automation Collaborative robots Cooperation Coexistence Human-robot collaboration Safety Efficient interaction 

Notes

Acknowledgements

The reported study was partially funded by RFBR according to the research project № 19-08-00331.

References

  1. 1.
    Mihelj, M., et al.: Robotics, Chapter 12 - Collaborative Robots, pp. 173–187 (2019).  https://doi.org/10.1007/978-3-319-72911-4_12zbMATHGoogle Scholar
  2. 2.
    Bondareva, N.: The state and prospects of development of robotics in Russia and the world. Homepage. https://cyberleninka.ru/article/n/sostoyanie-i-perspektivy-razvitiya-robotizatsii-v-mire-i-rossii. Accessed 10 Mar 2019
  3. 3.
    Ermishin, K., Yuschenko, A.: Collaborative mobile robots - a new stage of development of service robotics. J. Robot. Tech. Cybern. 3(12), 3–9 (2016)Google Scholar
  4. 4.
    Molchalov, D.: How the advent of industrial robotics has forever changed the usual approach to production. Intelligent robot systems. 1 (2016)Google Scholar
  5. 5.
    Aaltonen, I., Salmi, T., Marstio, I.: Refining levels of collaboration to support the design and evalution of human-robot interaction in the manufacturing industry. Procedia CIRP 72, 93–98 (2018)CrossRefGoogle Scholar
  6. 6.
    Pervez, A., Ryu, J.: Safe physical human robot interaction–past, present and future. J. Mech. Sci. Technol. 22, 469–483 (2008)CrossRefGoogle Scholar
  7. 7.
    Robot or cobot: The five key differences. Hannover Messe, 18 October 2016. Homepage. http://www.hannovermesse.de/en/news/robot-or-cobot-the-five-key-differences.xhtml. Accessed 11 Apr 2019
  8. 8.
    ISO/TC 299 Robotics – “ISO/TS 15066:2016 Robots and robotic devices – Collaborative robots”. Homepage. https://www.iso.org/standard/62996.html. Accessed 11 Apr 2019
  9. 9.
    Lazarte, M.: Robots and humans can work together with new ISO guidance. Homepage. https://www.iso.org/news/2016/03/Ref2057.html. Accessed 13 Apr 2018
  10. 10.
    Khalid, A., Kirisci, P., Ghrairi, Z., Thoben, K-D., Pannek, J.: Towards implementing safety and security concepts for human-robot collaboration in the context of Industry 4.0. In: 39th International MATADOR Conference on Advanced Manufacturing, pp. 0–7 (2017)Google Scholar
  11. 11.
    Robla-Gomez, S., et al.: Working together: a review on safe human-robot collaboration in industrial environments. IEEE Access 5, 26754–26773 (2017)CrossRefGoogle Scholar
  12. 12.
    Lasota, P., Fong, T., Shah, J.: A survey of methods for safe human-robot interaction. Found. Trends Robot. 5(4), 261–349 (2014).  https://doi.org/10.1561/2300000052CrossRefGoogle Scholar
  13. 13.
    Colgate, J., Wannasuphoprasit, W., Peshkin, M.: Cobots: robots for collaboration with human operators. Proc. Int. Mech. Eng. Congr. Exhib. 58, 433–439 (1996)Google Scholar
  14. 14.
    Djuric, A., Urbanic, R., Rickli, J.: A framework for collaborative robot (cobot) in- tegration in advanced manufacturing systems. SAE Int. J. Mater Manuf. 9, 457–464 (2016)CrossRefGoogle Scholar
  15. 15.
    Villani, V., Pini, F., Leali, F., Secchi, C.: Survey on human–robot collaboration in industrial settings: safety, intuitive interfaces and applications. Mechatronics 55, 248–266 (2018).  https://doi.org/10.1016/j.mechatronics.2018.02.009CrossRefGoogle Scholar
  16. 16.
    ISO 10218-1, 2:2011 “Robots and robotic devices – Safety requirements for industrial robots – Part 1, 2: Robot systems and integration”, Geneva (2011)Google Scholar
  17. 17.
    Yanco, H., Drury, J.: Classifying human-robot interaction: an updated taxonomy. In: Proceedings of the IEEE International Conference Systems, Man and Cybernetics (SMC). vol. 3, pp. 2841–2846, IEEE (2004)Google Scholar
  18. 18.
    De Luca, A., Flacco, F.: Integrated control for HRI: Collision avoidance, detection, reaction and collaboration. In: Proceedings of the IEEE RAS & EMBS International Conference Biomedical Robotics and Biomechatronics (BioRob). IEEE; pp. 288–295 (2012)Google Scholar
  19. 19.
    Geravand, M., Flacco, F., De Luca, A.: Human–robot physical interaction and collaboration using an industrial robot with a closed control architecture. In: Proceedings of the IEEE International Conference Robotics and Automation (ICRA). IEEE; pp. 4000–4007 (2013)Google Scholar
  20. 20.
    Bragança, S., Costa, E., Castellucci, I., Arezes, P.: A brief overview of the use of collaborative robots in Industry 4.0: human role and safety. Wandel Durch Partizipation, pp. 641–650 (2019)Google Scholar
  21. 21.
    Asimov, I.: Runaround. In: Astounding Science Fiction (1942)Google Scholar
  22. 22.
    Broquere, D.S., Herrera-Aguilar, I.: Soft motion trajectory planner for service manipulator robot. In: Proceedings of IROS, pp. 2808–2813 (2008)Google Scholar
  23. 23.
    Vick, D., et al.: Safe physical human-robot interaction with industrial dual-arm robots. In: Proceedings of International Workshop on Robot Motion and Control (RoMoCo), pp. 264–269 (2013)Google Scholar
  24. 24.
    De Santis, A., Siciliano, B., De Luca, A., Bicchi, A.: An atlas of physical human–robot interaction. Mech. Mach. Theory 43(3), 253–270 (2008)CrossRefGoogle Scholar
  25. 25.
    Pérez-D’Arpino, C., Shah, J.: Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. In: Proceedings of ICRA (2015)Google Scholar
  26. 26.
    Lasota, P., Shah, J.: Analyzing the effects of human-aware motion planning on close-proximity human-robot collaboration. Hum. Factors 57(1), 21–33 (2015)CrossRefGoogle Scholar
  27. 27.
    Chueshev, A., Melekhova, O., Meshcheryakov, R.: Cloud robotic platform on basis of fog computing approach. In: Interactive Collaborative Robotics: Third International Conference, ICR, pp. 34–43 (2018)Google Scholar
  28. 28.
    Zalevsky, A., Osipov, O., Meshcheryakov, R.: Tracking of warehouses robots based on the omnidirectional wheels. In: Interactive Collaborative Robotics: Second International Conference, ICR, pp. 268–274 (2017)Google Scholar
  29. 29.
    Arkhipov, V.V., Naumov, V.B.: Artificial intelligence and autonomous devices in legal context: on development of the first Russian law on robotics. SPIIRAS Proc. 6(55), 46–62 (2017).  https://doi.org/10.15622/sp.55.2CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.V.A. Trapeznikov Institute of Control Sciences of Russian Academy of SciencesMoscowRussian Federation

Personalised recommendations