Advertisement

Applicability of Human-Robot Collaboration to Small Batch Production

  • Dario Antonelli
  • Sergey Astanin
  • Giulia BrunoEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)

Abstract

In the past years, the use of industrial robots was on the rise. Today, they are used for mass production in large enterprises. On the contrary, deployment of robots in small enterprises is lagging behind. Programming time is usually two orders of magnitude larger than the cycle time, and this fact severely limits applicability of robots in small batch production. This work analyzes opportunities to profitably employ robots also in this case through the adoption of the human-robot collaboration. A collaboration paradigm is proposed, where the tasks are assigned to robotic and human workers based on the batch size, task programming complexity (time), and manual execution time. The validity of this approach is demonstrated in a case study conducted in a collaborative human-robot work cell.

Keywords

Human-robot collaboration Collective ability Manufacturing cell Small batch production Robotics 

References

  1. 1.
    Banerjee, A.G., Barnes, A., Kaipa, K.N., Liu, J., Shriyam, S., Shah, N., Gupta, S.K.: An ontology to enable optimized task partitioning in human-robot collaboration for warehouse kitting operations. In: Next-Generation Robotics II and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX (2015)Google Scholar
  2. 2.
    Michalos, G., Makris, S., Papakostas, N., Mourtzis, D., Chryssolouris, G.: Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach. CIRP J. Manuf. Sci. Technol. 2(2), 81–91 (2010)CrossRefGoogle Scholar
  3. 3.
    Cherubini, A., Passama, R., Crosnier, A., Lasnier, A., Fraisse, P.: Collaborative manufacturing with physical human–robot interaction. Robot. Comput.-Integr. Manuf. 40, 1–13 (2016)CrossRefGoogle Scholar
  4. 4.
    Antonelli, D., Astanin, S., Caporaletti, G., Donati, F.: FREE: flexible and safe interactive human-robot environment for small batch exacting applications. In: Röhrbein, F., Veiga, G., Natale, C. (eds.) Gearing up Accelerating Cross-Fertilization Between Academic and Industrial Robotics Research in Europe, pp. 47–62. Springer, Switzerland (2014)Google Scholar
  5. 5.
    Bicchi, A., Peshkin, M.A., Colgate, J.E.: Safety for physical human–robot interaction. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1335–1348. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Tan, J.T.C., Duan, F., Zhang, Y., Watanabe, K., Kato, R., Arai, T.: Human-robot collaboration in cellular manufacturing: design and development. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 29–34 (2009)Google Scholar
  7. 7.
    Morioka, M., Sakakibara, S.: A new cell production assembly system with human–robot cooperation. CIRP J. Manuf. Sci. Technol. 59, 9–12 (2010)CrossRefGoogle Scholar
  8. 8.
    Papakostas, N., Michalos, G., Makris, S., Zouzias, D., Chryssolouris, G.: Industrial applications with cooperating robots for the flexible assembly. Int. J. Comput. Integr. Manuf. 24(7), 650–660 (2011)CrossRefGoogle Scholar
  9. 9.
    Pedrocchi, N., Vicentini, F., Malosio, M., Tosatti, L.M. Safe human–robot cooperation in an industrial environment. Int. J. Adv. Robot. Syst. IJARS, 10(27) (2013). doi: 10.5772/53939
  10. 10.
    Ding, H., Schipper, M., Bjoern, M.: Optimized task distribution for industrial assembly in mixed human–robot environments – case study on IO module assembly. In: IEEE International Conference on Automation Science and Engineering (2014)Google Scholar
  11. 11.
    Harper, C., Virk, G.: Towards the development of international safety standards for human robot interaction. Int. J. Soc. Robot. 2(3), 229–234 (2010)CrossRefGoogle Scholar
  12. 12.
    Matthias, B., et al.: Safety of collaborative industrial robots: Certification possibilities for a collaborative assembly robot concept. In: IEEE ISAM (2011)Google Scholar
  13. 13.
    Billard, A., Calinon, S., Dillmann, R., Schaal, S.: Robot programming by demonstration. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1371–1394. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  14. 14.
    Argall, B.D., Chernova, S., Veloso, M., Browning, B.: A survey of robot learning from demonstration. Robot. Auton. Syst. 57(5), 469–483 (2009)CrossRefGoogle Scholar
  15. 15.
    Biggs, G., MacDonald, B.: A survey of robot programming systems. In: Proceedings of the Australasian Conference on Robotics and Automation, pp. 1–3 (2003)Google Scholar
  16. 16.
    Schaal, S., Atkeson, C.G.: Learning control in robotics. Robot. Autom. Mag. IEEE 17(2), 20–29 (2010)CrossRefGoogle Scholar
  17. 17.
    Antonelli, D., Astanin, S.: Qualification of a collaborative human-robot welding cell. Proc. CIRP 41, 352–357 (2016)CrossRefGoogle Scholar
  18. 18.
    Hopp, W.J., Spearman, M.L.: Factory Physics (2011)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  1. 1.Department of Management and Production EngineeringPolitecnico di TorinoTurinItaly

Personalised recommendations