Skip to main content
Springer Nature Link
Log in

A Mixed Reality Interface for Human-Swarm Interaction

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

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 33))

Included in the following conference series:

  • 142 Accesses

Abstract

The increasing deployment of multi-robot systems underscores their potential across diverse research and applied domains. Despite advancements in robot autonomy, challenges persist in achieving full autonomy in certain scenarios. In this paper, we propose leveraging human-robot interaction to intelligently combine human and robot capabilities. By assigning a human operator the role of supervisor, robots focus on environmental data retrieval, enhancing safety and task execution efficiency. This paper presents a Mixed Reality solution utilizing the Microsoft HoloLens 2 headset, allowing a human operator to designate specific areas for a multi-robot team to reach and cover.

This work was supported by Horizon Europe program under the Grant Agreement 101070351 (SERMAS).

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

Access this chapter

Log in via an institution

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

References

  1. Cortes, J., Martinez, S., Karatas, T., Bullo, F.: Coverage control for mobile sensing networks. IEEE Trans. Robot. Autom. 20(2), 243–255 (2004)

    Article  MATH  Google Scholar 

  2. Dorigo, M., Theraulaz, G., Trianni, V.: Swarm robotics: past, present, and future [point of view]. Proc. IEEE 109(7), 1152–1165 (2021)

    Article  MATH  Google Scholar 

  3. Hussein, A., Abbass, H.: Mixed initiative systems for human-swarm interaction: opportunities and challenges. In: 2018 2nd Annual Systems Modelling Conference (SMC), pp. 1–8. IEEE (2018)

    Google Scholar 

  4. Kotz, S., Balakrishnan, N., Johnson, N.L.: Continuous Multivariate Distributions, Volume 1: Models and Applications, vol. 1. Wiley (2004)

    Google Scholar 

  5. McLachlan, G.J., Lee, S.X., Rathnayake, S.I.: Finite mixture models. Ann. Rev. Stat. Appl. 6, 355–378 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  6. Pratissoli, F., Capelli, B., Sabattini, L.: On coverage control for limited range multi-robot systems. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Mattia Catellani, Flavia Nironi & Lorenzo Sabattini

Authors
  1. Mattia Catellani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Flavia Nironi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lorenzo Sabattini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mattia Catellani .

Editor information

Editors and Affiliations

  1. University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Cristian Secchi

  2. University of Bologna, Bologna, Italy

    Lorenzo Marconi

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

Catellani, M., Nironi, F., Sabattini, L. (2024). A Mixed Reality Interface for Human-Swarm Interaction. In: Secchi, C., Marconi, L. (eds) European Robotics Forum 2024. ERF 2024. Springer Proceedings in Advanced Robotics, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-031-76428-8_22

Download citation

Publish with us

Policies and ethics