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EMERGE - Emergent Awareness from Minimal Collectives

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European Robotics Forum 2024 (ERF 2024)

Abstract

We introduce the concept of collaborative awareness as a means to enhance interoperability, resilience and self regulation in synthetic agent collectives. We discuss the theoretical, computational and engineering framework of collaborative awareness built by the EU project EMERGE, and its application to distributed robotic systems.

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Notes

  1. 1.

    EMERGE project web page: https://eic-emerge.eu/.

References

  1. Birch, J., Schnell, A.K., Clayton, N.S.: Dimensions of animal consciousness. Trends Cogn. Sci. 24(10), 789–801 (2020)

    Article  MATH  Google Scholar 

  2. Ceni, A., et al.: Randomly coupled oscillators for time series processing. In: ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems (2023)

    Google Scholar 

  3. Cossu, A., Spinnato, F., Guidotti, R., Bacciu, D.: A protocol for continual explanation of shap. In: Verleysen, M. (ed.) Proceedings of ESANN 2023 (2023)

    Google Scholar 

  4. Della Santina, C., Duriez, C., Rus, D.: Model-based control of soft robots: a survey of the state of the art and open challenges. IEEE Control Syst. Mag. 43(3), 30–65 (2023)

    Article  MathSciNet  MATH  Google Scholar 

  5. Jones, S., Hauert, S.: Frappe: fast fiducial detection on low cost hardware. J. Real-Time Image Process. 20(6), 119

    Google Scholar 

  6. Jones, S., Milner, E., Sooriyabandara, M., Hauert, S.: Distributed situational awareness in robot swarms. Adv. Intell. Syst. 2(11) (2020)

    Google Scholar 

  7. Kia, B., Lindner, J.F., Ditto, W.L.: Nonlinear dynamics as an engine of computation. Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci. 375 (2017). https://api.semanticscholar.org/CorpusID:3711548

  8. Lepri, M., Bacciu, D., Della Santina, C.: Neural autoencoder-based structure-preserving model order reduction and control design for high-dimensional physical systems. IEEE Control Syst. Lett. (2023)

    Google Scholar 

  9. Liu, J., Borja, P., Santina, C.D.: Physics-informed neural networks to model and control robots: a theoretical and experimental investigation (2023)

    Google Scholar 

  10. Longin, L., Bahrami, B., Deroy, O.: Intelligence brings responsibility - even smart AI assistants are held responsible. iScience 26(8) (2023)

    Google Scholar 

  11. Marković, D., Mizrahi, A., Querlioz, D., Grollier, J.: Physics for neuromorphic computing. Nat. Rev. Phys. 2(9) (2020)

    Google Scholar 

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Acknowledgements

This work was funded by the EU under GA 101070918, EMERGE project. UK participants in EMERGE are supported by UKRI grant number 10038942.

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Correspondence to Davide Bacciu .

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Bacciu, D. et al. (2024). EMERGE - Emergent Awareness from Minimal Collectives. 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_16

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