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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
Navarro, I., Matía, F.: An introduction to swarm robotics. ISRN Robot. 2013 (2012). https://doi.org/10.5402/2013/608164
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
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
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
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
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
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
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
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
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
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
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
Acknowledgements
This work was performed according to the Russian Government Program of Competitive Growth of Kazan Federal University.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-99582-3_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99581-6
Online ISBN: 978-3-319-99582-3
eBook Packages: Computer ScienceComputer Science (R0)