Skip to main content

Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario

  • Conference paper
  • First Online:
Intelligent Autonomous Systems 17 (IAS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 577))

Included in the following conference series:

  • 903 Accesses

Abstract

Synthesis and tasks execution is a well known problem pertaining to different fields. With the advent of Industry 4.0, the need to schedule and execute very complex tasks that involve different machinery or robots has become a key topic. In this article we propose a methodology that allows to define and monitor the execution of high-level tasks for a heterogeneous multi-robot system involved in assembly tasks. With the proposed approach, a state-chart is automatically synthesized starting from the definition of high-level tasks. The state-chart is then used to monitor online the operations that the robots must execute. The proposed methodology has been validated and tested in a research facility that reproduces a complete production line involving collaborative robotic arms, mobile robots and manufacturing machines.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Trstenjak, M., Cosic, P.: Process planning in industry 4.0 environment. Proced. Manuf. 11, 1744–1750 (2017)

    Google Scholar 

  2. Michael, N., Zavlanos, M.M. Kumar, V., Pappas, G.J.: Distributed multi-robot task assignment and formation control. In: 2008 IEEE International Conference on Robotics and Automation, pp. 128–133, IEEE (2008)

    Google Scholar 

  3. Ice laboratory, universirty of verona. https://www.icelab.di.univr.it

  4. Ziparo, V.A., Iocchi, L., Lima, P.U., Nardi, D., Palamara, P.F.: Petri net plans. Autonomous Agents and Multi-Agent Systems 23(3), 344–383 (2011)

    Article  Google Scholar 

  5. Palamara, P.F., Ziparo, V.A., Iocchi, L., Nardi, D., Lima, P.: Teamwork design based on petri net plans. In: Robot Soccer World Cup, pp. 200–211, Springer (2008)

    Google Scholar 

  6. Cashmore, M., Fox, M., Long, D., Magazzeni, D., Ridder, B., Carrera, A., Palomeras, N., Hurtos, N., Carreras, M.: Rosplan: planning in the robot operating system. In: Proceedings of the International Conference on Automated Planning and Scheduling, vol. 25 (2015)

    Google Scholar 

  7. Canal, G., Cashmore, M., Krivić, S., Alenyà, G., Magazzeni, D., Torras, C.: Probabilistic planning for robotics with rosplan. In: Annual Conference Towards Autonomous Robotic Systems, pp. 236–250, Springer (2019)

    Google Scholar 

  8. Spellini, S., Chirico, R., Lora, M., Fummi, F.: Languages and formalisms to enable eda techniques in the context of industry 4.0. In: 2019 Forum for Specification and Design Languages (FDL), pp. 1–4, IEEE (2019)

    Google Scholar 

  9. Galindo, C., Fernández-Madrigal, J.-A., González, J., Saffiotti, A.: Robot task planning using semantic maps. Robot. Autonom. Syst. 56(11), 955–966 (2008)

    Article  Google Scholar 

  10. Falezza, F., Piccinelli, N., De Rossi, G., Roberti, A., Kronreif, G., Setti, F., Fiorini, P., Muradore, R.: Modeling of surgical procedures using state charts for semi-autonomous robotic surgery. IEEE Trans. Med. Robot. Bion. 3(4), 888–899 (2021)

    Article  Google Scholar 

  11. Marchand, E., Spindler, F., Chaumette, F.: ViSP for visual servoing: a generic software platform with a wide class of robot control skills. IEEE Robot. Automat. Magaz. 12, 40–52 (2005)

    Article  Google Scholar 

  12. Trinh, S., Spindler, F., Marchand, E., Chaumette, F.: A modular framework for model-based visual tracking using edge, texture and depth features. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS’18, (Madrid, Spain), October 2018

    Google Scholar 

  13. Tsai, R.Y., Lenz, R.K., et al.: A new technique for fully autonomous and efficient 3 d robotics hand/eye calibration. IEEE Trans. Robot. Automat. 5(3), 345–358 (1989)

    Article  Google Scholar 

  14. Stanford Artificial Intelligence Laboratory et al.: Robotic operating system

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francesco Trotti .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Trotti, F., Ghignoni, E., Muradore, R., Farinelli, A. (2023). Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-031-22216-0_49

Download citation

Publish with us

Policies and ethics