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A Scalable Multi-robot System for Cooperative Exploration

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European Robotics Forum 2024 (ERF 2024)

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

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Abstract

In the last few years, mobile robots have become widespread in a lot of applications that require a certain level of autonomy. To overcome the performances of single-robot systems, multi-robot systems have been adopted in several domains achieving good results in exploration, search and rescue, and surveillance operations. This work presents an architectural system that focuses on scalability, making the multi-agent system able to include or exclude an agent without impacting the whole system. The framework has been designed to overcome communication issues that are typical of this kind of system. The proposed solution adopts a concise shared representation of reality which takes care only of the necessary information to allow cooperative exploration of multiple robots.

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References

  1. Agency, D.A.R.P.: Darpa subterranean (subt) challenge (2021). https://www.darpa.mil/program/darpa-subterranean-challenge

  2. Caccavale, R., Finzi, A.: Plan execution and attentional regulations for flexible human-robot interaction. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2453–2458 (2015). https://doi.org/10.1109/SMC.2015.429

  3. Caccavale, R., Finzi, A.: A robotic cognitive control framework for collaborative task execution and learning. Top. Cogn. Sci. 14(2), 327–343 (2022). https://doi.org/10.1111/tops.12587. https://onlinelibrary.wiley.com/doi/abs/10.1111/tops.12587

  4. Grisetti, G., Stachniss, C., Burgard, W.: Improved techniques for grid mapping with rao-blackwellized particle filters. IEEE Trans. Rob. 23(1), 34–46 (2007). https://doi.org/10.1109/TRO.2006.889486

    Article  MATH  Google Scholar 

  5. Labbé, M., Michaud, F.: Rtab-map as an open-source lidar and visual simultaneous localization and mapping library for large-scale and long-term online operation. J. Field Robot. 36(2), 416–446 (2019). https://doi.org/10.1002/rob.21831. https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.21831

  6. Marder-Eppstein, E., Berger, E., Foote, T., Gerkey, B., Konolige, K.: The office marathon: robust navigation in an indoor office environment. In: 2010 IEEE International Conference on Robotics and Automation, pp. 300–307 (2010). https://doi.org/10.1109/ROBOT.2010.5509725

  7. Rösmann, C., Hoffmann, F., Bertram, T.: Integrated online trajectory planning and optimization in distinctive topologies. Robot. Auton. Syst. 88, 142–153 (2017). https://doi.org/10.1016/j.robot.2016.11.007. https://www.sciencedirect.com/science/article/pii/S0921889016300495

  8. S.p.A., L.C.: Leonardo drone contest (2023). https://www.leonardo.com/it/innovation-technology/open-innovation/drone-contest

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Correspondence to Vincenzo Scognamiglio .

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Scognamiglio, V., Caccavale, R., Finzi, A., Lippiello, V. (2024). A Scalable Multi-robot System for Cooperative Exploration. 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_36

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