Skip to main content

The Landscape of Collective Awareness in Multi-robot Systems

  • Conference paper
  • First Online:
European Robotics Forum 2024 (ERF 2024)

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 32))

Included in the following conference series:

  • 64 Accesses

Abstract

The development of collective-aware multi-robot systems is crucial for enhancing the efficiency and robustness of robotic applications in multiple fields. These systems enable collaboration, coordination, and resource sharing among robots, leading to improved scalability, adaptability to dynamic environments, and increased overall system robustness. In this work, we want to provide a brief overview of this research topic and identify open challenges.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.elsevier.com/products/scopus.

References

  1. Beni, G., Wang, J.: Theoretical problems for the realization of distributed robotic systems. In: Proceedings of the 1991 IEEE International Conference on Robotics and Automation, vol. 3, pp. 1914–1920 (1991). https://doi.org/10.1109/ROBOT.1991.131906

  2. Berger, C., Doherty, P., Rudol, P., Wzorek, M.: Auton. Agent. Multi-Agent Syst. 37(2), 47 (2023)

    Article  Google Scholar 

  3. Chang, Y., Hughes, N., Ray, A., Carlone, L.: Hydra-multi: collaborative online construction of 3D scene graphs with multi-robot teams (2023)

    Google Scholar 

  4. Doherty, P., Berger, C., Rudol, P., Wzorek, M.: Hastily formed knowledge networks and distributed situation awareness for collaborative robotics. Auton. Intell. Syst. 1, 1–29 (2021)

    Article  Google Scholar 

  5. Ebert, J.T., Berlinger, F., Haghighat, B., Nagpal, R.: A hybrid PSO algorithm for multi-robot target search and decision awareness. In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 11,520–11,527. IEEE (2022)

    Google Scholar 

  6. Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors 37(1), 32–64 (1995)

    Article  MATH  Google Scholar 

  7. Fernandez-Cortizas, M., Bavle, H., Perez-Saura, D., Sanchez-Lopez, J.L., Campoy, P., Voos, H.: Multi s-graphs: an efficient real-time distributed semantic-relational collaborative slam. arXiv preprint arXiv:2401.05152 (2024)

  8. Greve, E., Büchner, M., Vödisch, N., Burgard, W., Valada, A.: Collaborative dynamic 3D scene graphs for automated driving (2023)

    Google Scholar 

  9. Hui, Y., Zhang, X., Shen, H., Lu, H., Tian, B.: DPPM: decentralized exploration planning for multi-UAV systems using lightweight information structure. IEEE Trans. Intell. Veh. 1–13 (2023). https://doi.org/10.1109/TIV.2023.3322705

  10. Jurt, M., Milner, E., Sooriyabandara, M., Hauert, S.: Collective transport of arbitrarily shaped objects using robot swarms. Artif. Life Robot. 27(2), 365–372 (2022)

    Article  Google Scholar 

  11. Kernbach, S.: Awareness and self-awareness for multi-robot organisms. arXiv preprint arXiv:1111.5219 (2011)

  12. Kube, C.R., Zhang, H.: Collective robotics: from social insects to robots. Adapt. Behav. 2(2), 189–218 (1993)

    Article  MATH  Google Scholar 

  13. Luna, M.A., et al.: Spiral coverage path planning for multi-UAV photovoltaic panel inspection applications. In: 2023 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 679–686. IEEE (2023)

    Google Scholar 

  14. Meng, Y., Gan, J.: A distributed swarm intelligence based algorithm for a cooperative multi-robot construction task. In: 2008 IEEE Swarm Intelligence Symposium, pp. 1–6. IEEE (2008)

    Google Scholar 

  15. Potts, M.W., Sartor, P., Johnson, A., Bullock, S.: A network perspective on assessing system architectures: foundations and challenges. Syst. Eng. 22, 485–501 (2019)

    Article  MATH  Google Scholar 

  16. Salmon, P.M., Stanton, N.A., Jenkins, D.P.: Distributed Situation Awareness: Theory, Measurement and Application to Teamwork (2017)

    Google Scholar 

  17. Zhou, B., Xu, H., Shen, S.: Racer: Rapid collaborative exploration with a decentralized multi-UAV system. IEEE Trans. Rob. 39(3), 1816–1835 (2023). https://doi.org/10.1109/TRO.2023.3236945

    Article  MATH  Google Scholar 

Download references

Aknowledgments

This work was funded by: European Union’s Horizon Europe Project No. 101070254 CORESENSE, project COPILOT ref. 2020/EMT6368, funded by the Madrid Government under the R&D Synergic Projects Program, project INSERTION ref. ID2021-127648OBC32 funded by the Spanish Ministry of Science and Innovation. The work of the second author is supported by the Spanish Ministry of Science and Innovation under its Program for Technical Assistants PTA2021-020671.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miguel Fernandez-Cortizas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 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

Fernandez-Cortizas, M., Perez-Saura, D., Sanz, R., Molina, M., Campoy, P. (2024). The Landscape of Collective Awareness in Multi-robot Systems. In: Secchi, C., Marconi, L. (eds) European Robotics Forum 2024. ERF 2024. Springer Proceedings in Advanced Robotics, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-031-76424-0_17

Download citation

Publish with us

Policies and ethics