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Human-Machine Cooperation with Autonomous CPS in the Context of Industry 4.0: A Literature Review

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2020)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 952))

Abstract

The aim of this paper is to study to what extent the current state-of-the-art in human-machine cooperation can be applied or adapted in the emerging context in Industry 4.0 where the “machines” are autonomous cyber-physical systems with whom the cooperation is done. A review of 20 papers has been realized. A discussion is made, pointing out the advances and limits of existing state-of-the-art applied in the context of autonomous cyber-physical systems. An illustration in the domain of the maintenance phase of an autonomous cyber-physical system is provided to explain the conclusions of our review.

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References

  1. Flemisch, F., Abbink, D.A., Itoh, M., Pacaux-Lemoine, M.-P., Weßel, G.: Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human–machine cooperation, cooperative guidance and control, shared, traded and supervisory control. Cogn. Tech. Work 21, 555–568 (2019). https://doi.org/10.1007/s10111-019-00576-1

    Article  Google Scholar 

  2. Lin, W.S., Zhao, H.V., Liu, K.J.R.: A game theoretic framework for incentive-based peer-to-peer live-streaming social networks. In: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2141–2144, IEEE, Las Vegas (2008). https://doi.org/10.1109/ICASSP.2008.4518066.

  3. Cogliati, D., Falchetto, M., Pau, D., Roveri, M., Viscardi, G.: Intelligent cyber-physical systems for industry 4.0. In: 2018 First International Conference on AI for Industries (AI4I). pp. 19–22. IEEE, Laguna Hills, USA (2018). https://doi.org/10.1109/AI4I.2018.8665681

  4. Terziyan, V., Gryshko, S., Golovianko, M.: Patented intelligence: cloning human decision models for Industry 4.0. J. Manuf. Syst. 48, 204–217 (2018). https://doi.org/10.1016/j.jmsy.2018.04.019.

  5. Dang, T., Merieux, C., Pizel, J., Deulet, N.: On the road to industry 4.0: a fieldbus architecture to acquire specific smart instrumentation data in existing industrial plant for predictive maintenance. In: 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE), pp. 854–859. IEEE, Cairns, Australia (2018)

    Google Scholar 

  6. Ratliff, L.J.: Incentivizing Efficiency in Societal-Scale Cyber-Physical Systems (2015). https://escholarship.org/uc/item/6ck1z3x3

  7. Oks, S.J., Fritzsche, A., Möslein, K.M.: Engineering industrial cyber-physical systems: an application map based method. Procedia CIRP 72, 456–461 (2018). https://doi.org/10.1016/j.procir.2018.03.126

    Article  Google Scholar 

  8. Bekey, G.A.: Autonomous Robots: From Biological Inspiration to Implementation and Control. MIT Press 20, 197–198 (2005). https://doi.org/10.1162/artl.2007.13.4.419

    Article  Google Scholar 

  9. Lin, H.-T.: Implementing smart homes with open source solutions. Int. J. Smart Home 7, 8 (2013)

    Google Scholar 

  10. Pacaux-Lemoine, M.-P., Berdal, Q., Enjalbert, S., Trentesaux, D.: Towards human-based industrial cyber-physical systems. In: 2018 IEEE Industrial Cyber-Physical Systems (ICPS), pp. 615–620. IEEE, St. Petersburg (2018). https://doi.org/10.1109/ICPHYS.2018.8390776

  11. Aarts, B., Chalker, S., Weiner, E.: The Oxford Dictionary of English Grammar, OUP Oxford (2014)

    Google Scholar 

  12. Hoc, J.-M., Lemoine, M.-P.: Cognitive evaluation of human-human and human-machine cooperation modes in air traffic control. The Int. J. Aviat. Psychol. 8, 1–32 (1998). https://doi.org/10.1207/s15327108ijap0801_1

    Article  Google Scholar 

  13. Millot, P., Pacaux-Lemoine, M.-P.: A common work space for a mutual enrichment of human-machine cooperation and team-situation awareness. IFAC Proc. Volumes 46, 387–394 (2013). https://doi.org/10.3182/20130811-5-US-2037.00061

    Article  Google Scholar 

  14. Gely, C., Trentesaux, D., Le Mortellec, A.: Maintenance of the autonomous train: a human-machine cooperation framework. In: Müller, B. and Meyer, G. (eds.) Towards User-Centric Transport in Europe 2: Enablers of Inclusive, Seamless and Sustainable Mobility, pp. 135–148. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-38028-1_10

  15. Trentesaux, D., Millot, P.: A human-centred design to break the myth of the “magic human” in intelligent manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., and McFarlane, D. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing. pp. 103–113, Springer SCI, Cham (2016). https://doi.org/10.1007/978-3-319-30337-6_10

  16. Pacaux-Lemoine, M.P., Debernard, S.: Common work space for human–machine cooperation in air traffic control. Control Eng. Pract. 10, 571–576 (2002). https://doi.org/10.1016/S0967-0661(01)00060-0

    Article  Google Scholar 

  17. Romero, D., Bernus, P., Noran, O., Stahre, J., Fast-Berglund, Å.: The operator 4.0: human cyber-physical systems and adaptive automation towards human-automation symbiosis work systems. In: Nääs, I. et al. (eds.) Advances in Production Management Systems. Initiatives for a Sustainable World, pp. 677–686. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-51133-7_80

  18. Lozano, S., Moreno, P., Adenso-Díaz, B., Algaba, E.: Cooperative game theory approach to allocating benefits of horizontal cooperation. Eur. J. Oper. Res. 229, 444–452 (2013). https://doi.org/10.1016/j.ejor.2013.02.034

    Article  MathSciNet  MATH  Google Scholar 

  19. MacVicar-Whelan, P.J.: Fuzzy sets for man-machine interaction. Int. J. Man-Machine Stud. 8, 687–697 (1976). https://doi.org/10.1016/S0020-7373(76)80030-2

    Article  MATH  Google Scholar 

  20. Schulze, M., Nehler, H., Ottosson, M., Thollander, P.: Energy management in industry – a systematic review of previous findings and an integrative conceptual framework. J. Cleaner Prod. 112, 3692–3708 (2016). https://doi.org/10.1016/j.jclepro.2015.06.060

    Article  Google Scholar 

  21. Muslim, H., Itoh, M.: The effects of system functional limitations on driver performance and safety when sharing the steering control during lane-change. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 135–140. IEEE, Banff, AB (2017). https://doi.org/10.1109/SMC.2017.8122591

  22. Pacaux-Lemoine, M.-P., Vanderhaegen, F.: Towards levels of cooperation. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp. 291–296, IEEE, Manchester (2013). https://doi.org/10.1109/SMC.2013.56

  23. Mars, F., Deroo, M., Hoc, J.-M.: Analysis of human-machine cooperation when driving with different degrees of haptic shared control. IEEE Trans. Haptics 7, 324–333 (2014). https://doi.org/10.1109/TOH.2013.2295095

    Article  Google Scholar 

  24. Zolotová, I., Papcun, P., Kajáti, E., Miškuf, M., Mocnej, J.: Smart and cognitive solutions for operator 4.0. In: Laboratory H-CPPS Case Studies, Computers & Industrial Engineering, vol. 105471 (2018). https://doi.org/10.1016/j.cie.2018.10.032

  25. Gammieri, L., Schumann, M., Pelliccia, L., Di Gironimo, G., Klimant, P.: Coupling of a redundant manipulator with a virtual reality environment to enhance human-robot Coop. In: Proceedings CIRP, vol. 62, pp. 618–623 (2017). https://doi.org/10.1016/j.procir.2016.06.056

  26. Ballagi, Á., Kóczy, L.T., Pozna, C.: Man-machine cooperation without explicit communication. In: 2010 World Automation Congress, pp. 1–6 (2010)

    Google Scholar 

  27. Agah, A., Tanie, K.: Human-machine interaction through an intelligent user interface based on contention architecture. In: Proceedings 5th IEEE International Workshop on Robot and Human Communications, pp. 537–542. IEEE, Tsukuba (1996). https://doi.org/10.1109/ROMAN.1996.568894

  28. Xie, F., Liu, F.-M., Yang, R.-R., Lu, R.: Game-based incentive mechanisms for cooperation in P2P networks. In: 2008 4th International Conference on Natural Computation, pp. 498–501, IEEE, Jinan, Shandong, China (2008). https://doi.org/10.1109/ICNC.2008.100

  29. Requejo, R.J., Camacho, J.: Evolution of cooperation mediated by limiting resources: connecting resource based models and evolutionary game theory. J. Theor. Biol. 272, 35–41 (2011). https://doi.org/10.1016/j.jtbi.2010.12.005

    Article  MathSciNet  MATH  Google Scholar 

  30. Söffker, D., Langer, M., Hasselberg, A., Flesch, G.: Modeling of cooperative human-machine-human systems based on game theory. In: Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 274–281 (2012). https://doi.org/10.1109/CSCWD.2012.6221830

  31. Fong, T., Nourbakhsh, I., Kunz, C., Fluckiger, L., Schreiner, J., Ambrose, R., Burridge, R., Simmons, R., Hiatt, L., Schultz, A., Trafton, J.G., Bugajska, M., Scholtz, J.: The peer-to-peer human-robot interaction project. In: Space 2005, American Institute of Aeronautics and Astronautics, Long Beach, California (2005). https://doi.org/10.2514/6.2005-6750

  32. Dias, M.B., Kannan, B., Browning, B., Jones, E.G., Argall, B., Dias, M.F., Zinck, M., Veloso, M.M., Stentz, A.J.: Sliding autonomy for peer-to-peer human-robot teams. In: Proceedings of the International Conference on Intelligent Autonomous Systems, pp. 332–341 (2008)

    Google Scholar 

  33. Kaupp, T., Makarenko, A., Durrant-Whyte, H.: Human–robot communication for collaborative decision making - a probabilistic approach. Robot. Autonomous Syst. 58, 444–456 (2010). https://doi.org/10.1016/j.robot.2010.02.003

    Article  Google Scholar 

  34. Nukuzuma, A., Yamada, K., Harada, N., Ishimaru, K., Furukawa, H.: Decision support to realize intelligent cooperative interactions. In: Proceedings of 1995 IEEE International Conference on Fuzzy Systems, vol. 2, pp. 837–842 (1995). https://doi.org/10.1109/FUZZY.1995.409780

  35. Pacaux-Lemoine, M.-P., Itoh, M.: Towards vertical and horizontal extension of shared control concept. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3086–3091, IEEE, Kowloon Tong, Hong Kong (2015). https://doi.org/10.1109/SMC.2015.536

  36. Sénéchal, O.: Performance indicators nomenclatures for decision making in sustainable conditions based maintenance. IFAC-PapersOnLine 51, 1137–1142 (2018). https://doi.org/10.1016/j.ifacol.2018.08.438

    Article  Google Scholar 

  37. Chen, D., Doumeingts, G.: The GRAI-GIM reference model, architecture and methodology. In: Bernus, P., Nemes, L., Williams, T.J. (eds.) Architectures for Enterprise Integration. pp. 102–126, Springer US, Boston (1996). https://doi.org/10.1007/978-0-387-34941-1_7

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Acknowledgement

The work described in this chapter was conducted in the framework of the joint laboratory "SurferLab" founded by Bombardier, Prosyst and the Université Polytechnique Hauts-de-France. This Joint Laboratory is supported by the CNRS and financed from ERDF funds. The authors would like to thank the CNRS, the European Union, and the Hauts-de-France region for their support. Parts of the work are also carried out in the context of the HUMANISM No ANR-17-CE10–0009 research program, funded by the French ANR “Agence Nationale de la Recherche”.

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Authors and Affiliations

  1. LAMIH UMR CNRS 8201, Université Polytechnique Hauts-de France, Le Mont Houy, 59313, Valenciennes Cedex, France

    Corentin Gely, Damien Trentesaux, Marie-Pierre Pacaux-Lemoine & Olivier Sénéchal

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  1. Corentin Gely
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  2. Damien Trentesaux
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  3. Marie-Pierre Pacaux-Lemoine
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  4. Olivier Sénéchal
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Correspondence to Corentin Gely .

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Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. Université Polytechnique Hauts-de-France, Le Mont Houy, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, Bragança, Portugal

    Paulo Leitão

  4. Department of Génie Mecanique et Productique, Université de Nantes, Carquefou, France

    Olivier Cardin

  5. LAMIH Arts et Métiers Paris Tech, Paris, France

    Samir Lamouri

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Gely, C., Trentesaux, D., Pacaux-Lemoine, MP., Sénéchal, O. (2021). Human-Machine Cooperation with Autonomous CPS in the Context of Industry 4.0: A Literature Review. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Lamouri, S. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2020. Studies in Computational Intelligence, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-69373-2_23

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