Abstract
Group-living animals often exhibit complex collective behaviors that emerge through the non-linear dynamics of social interactions between individuals. Previous studies have shown that it is possible to influence the collective decision-making process of groups of insects by integrating them with autonomous multi-robot systems. However, generating robot controller models for this particular task can be challenging. The main difficulties lie in accommodating group collective dynamics (macroscopic level) and agent-based models implemented in every individual robot (microscopic level). In this study, we show how such systems can be appropriately modeled, and how to use them to modulate the collective decision-making of cockroaches in a shelter-selection problem. We address two questions in this paper: first, how to optimize a microscopic model of cockroach behavior to exhibit the same collective behavior as a macroscopic model from the literature, and second, how to optimize the model describing robot behavior to modulate the collective behavior of the group of cockroaches.
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References
Amé, J., Halloy, J., Rivault, C., Detrain, C., Deneubourg, J.: Collegial decision making based on social amplification leads to optimal group formation. Proceedings of the National Academy of Sciences 103(15), 5835–5840 (2006)
Auger, A., Hansen, N.: A restart CMA evolution strategy with increasing population size. In: The 2005 IEEE Congress on Evolutionary Computation, vol. 2, pp. 1769–1776. IEEE (2005)
Bonnet, F., Retornaz, P., Halloy, J., Gribovskiy, A., Mondada, F.: Development of a mobile robot to study the collective behavior of zebrafish, pp. 437–442 (2012)
Butail, S., Polverino, G., Phamduy, P., Del Sette, F., Porfiri, M.: Fish-robot interactions in a free-swimming environment: effects of speed and configuration of robots on live fish. In: Proceedings of SPIE 9055, Bioinspiration, Biomimetics, and Bioreplication 2014, p. 90550I (2014)
Butail, S., Polverino, G., Phamduy, P., Del Sette, F., Porfiri, M.: Influence of robotic shoal size, configuration, and activity on zebrafish behavior in a free-swimming environment. Behavioural Brain Research 275, 269–280 (2014)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)
Deza, M., Deza, E.: Dictionary of distances. Elsevier (2006)
Garnier, S., Gautrais, J., Asadpour, M., Jost, C., Theraulaz, G.: Self-organized aggregation triggers collective decision making in a group of cockroach-like robots. Adaptive Behavior 17(2), 109–133 (2009)
Gillespie, D.: Exact stochastic simulation of coupled chemical reactions. The Journal of Physical Chemistry 81(25), 2340–2361 (1977)
Gribovskiy, A., Halloy, J., Deneubourg, J., Bleuler, H., Mondada, F.: Towards mixed societies of chickens and robots. In: IROS (2010)
Halloy, J., Mondada, F., Kernbach, S., Schmickl, T.: Towards bio-hybrid systems made of social animals and robots. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott, T.J. (eds.) Living Machines 2013. LNCS, vol. 8064, pp. 384–386. Springer, Heidelberg (2013)
Halloy, J., Sempo, G., Caprari, G., Rivault, C., Asadpour, M., Tâche, F., Said, I., Durier, V., Canonge, S., Amé, J.: Social integration of robots into groups of cockroaches to control self-organized choices. Science 318(5853), 1155–1158 (2007)
Jeanson, R., Blanco, S., Fournier, R., Deneubourg, J., Fourcassié, V., Theraulaz, G.: A model of animal movements in a bounded space. Journal of Theoretical Biology 225(4), 443–451 (2003)
Jeanson, R., Rivault, C., Deneubourg, J., Blanco, S., Fournier, R., Jost, C., Theraulaz, G.: Self-organized aggregation in cockroaches. Animal Behaviour 69(1), 169–180 (2005)
Landgraf, T., Nguyen, H., Schröer, J., Szengel, A., Clément, R.J.G., Bierbach, D., Krause, J.: Blending in with the shoal: robotic fish swarms for investigating strategies of group formation in guppies. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds.) Living Machines 2014. LNCS, vol. 8608, pp. 178–189. Springer, Heidelberg (2014)
Landgraf, T., Oertel, M., Rhiel, D., Rojas, R.: A biomimetic honeybee robot for the analysis of the honeybee dance communication system. In: IROS, pp. 3097–3102 (2010)
Mermoud, G., Brugger, J., Martinoli, A.: Towards multi-level modeling of self-assembling intelligent micro-systems. In: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, pp. 89–96 (2009)
Mermoud, G., Matthey, L., Evans, W., Martinoli, A.: Aggregation-mediated collective perception and action in a group of miniature robots. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, pp. 599–606 (2010)
Mermoud, G., Upadhyay, U., Evans, W.C., Martinoli, A.: Top-down vs. bottom-up model-based methodologies for distributed control: a comparative experimental study. In: Khatib, O., Kumar, V., Sukhatme, G. (eds.) Experimental Robotics. STAR, vol. 79, pp. 615–629. Springer, Heidelberg (2012)
Polverino, G., Porfiri, M.: Zebrafish (danio rerio) behavioural response to bioinspired robotic fish and mosquitofish (gambusia affinis). Bioinspiration & Biomimetics 8(4), 044001 (2013)
Sempo, G., Depickère, S., Amé, J.-M., Detrain, C., Halloy, J., Deneubourg, J.-L.: Integration of an autonomous artificial agent in an insect society: experimental validation. In: Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J.C.T., Marocco, D., Meyer, J.-A., Miglino, O., Parisi, D. (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 703–712. Springer, Heidelberg (2006)
Zabala, F., Polidoro, P., Robie, A., Branson, K., Perona, P., Dickinson, M.: A simple strategy for detecting moving objects during locomotion revealed by animal-robot interactions. Current Biology 22(14), 1344–1350 (2012)
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Cazenille, L., Bredeche, N., Halloy, J. (2015). Multi-objective Optimization of Multi-level Models for Controlling Animal Collective Behavior with Robots. In: Wilson, S., Verschure, P., Mura, A., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2015. Lecture Notes in Computer Science(), vol 9222. Springer, Cham. https://doi.org/10.1007/978-3-319-22979-9_38
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DOI: https://doi.org/10.1007/978-3-319-22979-9_38
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