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Swarm Robotics: Remarks on Terminology and Classification

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Interactive Collaborative Robotics (ICR 2018)

Abstract

Swarm robotics is a fast-growing field of research in recent years. As studies count increases, the terminology requires a revision in order to provide a proper level of unification and precision - even a unique “swarm robotics” term needs to be established. Since there are multiple types of collective robotics approaches and corresponding methodology, swarm robotics field terminology must be explicitly distinguished from others. In this paper, we attempt to compare and refine definitions that had been proposed in previous researches. We demonstrate relations between swarm robotics and concepts of adjacent fields including multi-agent systems, multi-robot systems and sensor networks.

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References

  1. Beni, G.: From swarm intelligence to swarm robotics. In: Şahin, E., Spears, W.M. (eds.) SR 2004. LNCS, vol. 3342, pp. 1–9. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30552-1_1

    Chapter  Google Scholar 

  2. Beni, G., Wang, J.: Swarm intelligence in cellular robotic systems. In: Dario, P., Sandini, G., Aebischer, P. (eds.) Robots and Biological Systems: Towards a New Bionics? NATO ASI Series (Series F: Computer and Systems Sciences), pp. 703–712. Springer, Heidelberg (1993). https://doi.org/10.1007/978-3-642-58069-7_38

  3. Cornejo, A., Nagpal, R.: Distributed range-based relative localization of robot swarms. In: Akin, H.L., Amato, N.M., Isler, V., van der Stappen, A.F. (eds.) Algorithmic Foundations of Robotics XI. STAR, vol. 107, pp. 91–107. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16595-0_6

    Chapter  Google Scholar 

  4. Dang, V.L., Le, B.S., Bui, T.T., Huynh, H.T., Pham, C.K.: A decentralized localization scheme for swarm robotics based on coordinate geometry and distributed gradient descent. In: MATEC Web of Conferences. vol. 54. EDP Sciences (2016). https://doi.org/10.1051/matecconf/20165402002

  5. Dieudonné, Y., Labbani-Igbida, O., Petit, F.: Circle formation of weak mobile robots. ACM Trans. Autonom. Adapt. Syst. (TAAS) 3(4), 16 (2008). https://doi.org/10.1145/1452001.1452006

    Article  Google Scholar 

  6. Dieudonné, Y., Petit, F.: Squaring the circle with weak mobile robots. In: Hong, S.-H., Nagamochi, H., Fukunaga, T. (eds.) ISAAC 2008. LNCS, vol. 5369, pp. 354–365. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-92182-0_33

    Chapter  Google Scholar 

  7. Dudek, G., Jenkin, M., Milios, E., Wilkes, D.: A taxonomy for swarm robots. In: Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 1993, vol. 1, pp. 441–447. IEEE (1993). https://doi.org/10.1109/IROS.1993.583135

  8. Flocchini, P., Prencipe, G., Santoro, N., Widmayer, P.: Hard tasks for weak robots: the role of common knowledge in pattern formation by autonomous mobile robots. ISAAC 1999. LNCS, vol. 1741, pp. 93–102. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-46632-0_10

    Chapter  Google Scholar 

  9. Ge, X., Han, Q.L.: Distributed formation control of networked multi-agent systems using a dynamic event-triggered communication mechanism. IEEE Trans. Ind. Electron. 64(10), 8118–8127 (2017). https://doi.org/10.1109/tie.2017.2701778

    Article  Google Scholar 

  10. Hecker, J.P., Moses, M.E.: Beyond pheromones: evolving error-tolerant, flexible, and scalable ant-inspired robot swarms. Swarm Intell. 9(1), 43–70 (2015). https://doi.org/10.1007/s11721-015-0104-z

    Article  Google Scholar 

  11. Iocchi, L., Nardi, D., Salerno, M.: Reactivity and deliberation: a survey on multi-robot systems. BRSDMAS 2000. LNCS (LNAI), vol. 2103, pp. 9–32. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44568-4_2

    Chapter  MATH  Google Scholar 

  12. Jiang, S., Cao, J., Wang, J., Stojmenovic, M., Bourgeois, J.: Uniform circle formation by asynchronous robots: A fully-distributed approach. In: 2017 26th International Conference on Computer Communication and Networks (ICCCN), pp. 1–9. IEEE (2017). https://doi.org/10.1109/icccn.2017.8038468

  13. Kang, S.M., Ahn, H.S.: Design and realization of distributed adaptive formation control law for multi-agent systems with moving leader. IEEE Trans. Ind. Electron. 63(2), 1268–1279 (2016). https://doi.org/10.1109/tie.2015.2504041

    Article  Google Scholar 

  14. Kim, J.H., Kwon, J.W., Seo, J.: Mapping and path planning using communication graph of unlocalized and randomly deployed robotic swarm. In: 2016 16th International Conference on Control, Automation and Systems (ICCAS), pp. 865–868. IEEE (2016). https://doi.org/10.1109/iccas.2016.7832414

  15. Kohlbacher, A., Eliasson, J., Acres, K., Chung, H., Barca, J.C.: A low cost omnidirectional relative localization sensor for swarm applications. In: Wf-IoT 2018 (2018)

    Google Scholar 

  16. Krajník, T., Nitsche, M., Faigl, J., Vaněk, P., Saska, M., Přeučil, L., Duckett, T., Mejail, M.: A practical multirobot localization system. J. Intell. Robot. Syst. 76(3–4), 539–562 (2014). https://doi.org/10.1007/s10846-014-0041-x

    Article  Google Scholar 

  17. Li, H., Feng, C., Ehrhard, H., Shen, Y., Cobos, B., Zhang, F., Elamvazhuthi, K., Berman, S., Haberland, M., Bertozzi, A.L.: Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment. In: Intelligent Robots and Systems (IROS) (2017). https://doi.org/10.1109/iros.2017.8206299

  18. Maeda, R., Endo, T., Matsuno, F.: Decentralized navigation for heterogeneous swarm robots with limited field of view. IEEE Robot. Autom. Lett. 2(2), 904–911 (2017). https://doi.org/10.1109/lra.2017.2654549

    Article  Google Scholar 

  19. Navarro, I., Matía, F.: An introduction to swarm robotics. ISRN Robot. 2013 (2012). https://doi.org/10.5402/2013/608164

  20. Oh, K.K., Park, M.C., Ahn, H.S.: A survey of multi-agent formation control. Automatica 53, 424–440 (2015). https://doi.org/10.1016/j.automatica.2014.10.022

    Article  MathSciNet  MATH  Google Scholar 

  21. Rubenstein, M., Cornejo, A., Nagpal, R.: Programmable self-assembly in a thousand-robot swarm. Science 345(6198), 795–799 (2014). https://doi.org/10.1126/science.1254295

    Article  Google Scholar 

  22. de Sá, A.O., Nedjah, N., de Macedo Mourelle, L.: Distributed and resilient localization algorithm for swarm robotic systems. Appl. Soft Comput. 57, 738–750 (2017). https://doi.org/10.1016/j.asoc.2016.07.049

    Article  Google Scholar 

  23. Şahin, E.: Swarm robotics: from sources of inspiration to domains of application. In: Şahin, E., Spears, W.M. (eds.) SR 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-30552-1_2

    Chapter  Google Scholar 

  24. Sakai, D., Fukushima, H., Matsuno, F.: Flocking for multirobots without distinguishing robots and obstacles. IEEE Trans. Control Syst. Technol. 25(3), 1019–1027 (2017). https://doi.org/10.1109/tcst.2016.2581148

    Article  Google Scholar 

  25. Sakai, D., Fukushima, H., Matsuno, F.: Leader-follower navigation in obstacle environments while preserving connectivity without data transmission. IEEE Trans. Control Syst. Technol. (2017). https://doi.org/10.1109/tcst.2017.2705121

  26. Sugihara, K., Suzuki, I.: Distributed algorithms for formation of geometric patterns with many mobile robots. J. Robot. Syst. 13(3), 127–139 (1996). https://doi.org/10.1002/(sici)1097-4563(199603)13:3%3c127::aid-rob1%3e3.0.co;2-u

    Article  MATH  Google Scholar 

  27. Suzuki, I., Yamashita, M.: Distributed anonymous mobile robots: Formation of geometric patterns. SIAM J. Comput. 28(4), 1347–1363 (1999). https://doi.org/10.1137/s009753979628292x

    Article  MathSciNet  MATH  Google Scholar 

  28. Tan, Y., Zheng, Z.y.: Research advance in swarm robotics. Defence Technol. 9(1), 18–39 (2013). https://doi.org/10.1016/j.dt.2013.03.001

  29. Xia, Y., Na, X., Sun, Z., Chen, J.: Formation control and collision avoidance for multi-agent systems based on position estimation. ISA Trans. 61, 287–296 (2016). https://doi.org/10.1016/j.isatra.2015.12.010

    Article  Google Scholar 

  30. Xin, L., Daqi, Z., Yangyang, C., Qingqin, L.: Formation tracking and transformation control of nonholonomic auvs based on improved SOM method. In: 2017 29th Chinese Control And Decision Conference (CCDC), pp. 500–505. IEEE (2017). https://doi.org/10.1109/ccdc.2017.7978146

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Acknowledgements

This work was performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.

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Correspondence to Evgeni Magid .

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Zakiev, A., Tsoy, T., Magid, E. (2018). Swarm Robotics: Remarks on Terminology and Classification. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2018. Lecture Notes in Computer Science(), vol 11097. Springer, Cham. https://doi.org/10.1007/978-3-319-99582-3_30

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  • DOI: https://doi.org/10.1007/978-3-319-99582-3_30

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