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Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment

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Parallel Problem Solving from Nature, PPSN XI (PPSN 2010)

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Abstract

We propose a novel communication strategy inspired by explicit signaling mechanisms seen in vertebrates, in order to improve performance of self-organized flocking for a swarm of mobile robots. The communication strategy is used to make the robots match each other’s headings. The task of the robots is to coordinately move towards a common goal direction, which might stay fixed or change over time.

We perform simulation-based experiments in which we evaluate the accuracy of flocking with respect to a given goal direction. In our settings, only some of the robots are informed about the goal direction. Experiments are conducted in stationary and non-stationary environments. In the stationary environment, the goal direction and the informed robots do not change during the experiment. In the non-stationary environment, the goal direction and the informed robots are changed over time. In both environments, the proposed strategy scales well with respect to the swarm size and is robust with respect to noise.

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References

  1. Couzin, I.D., Krause, J., Franks, N.R., Levin, S.A.: Effective leadership and decision-making in animal groups on the move. Nature 433, 513–516 (2005)

    Article  Google Scholar 

  2. King, A.J., Johnson, D.D.P., Van Vugt, M.: The origins and evolution of leadership. Current biology 19(19), 911–916 (2009)

    Article  Google Scholar 

  3. Stewart, K.J., Harcourt, A.H.: Gorillas’ vocalizations during rest periods: signals of impending departure? Behaviour 130(1), 29–40 (1994)

    Article  Google Scholar 

  4. Beekman, M., Fathke, R., Seeley, T.: How does an informed minority of scouts guide a honeybee swarm as it flies to its new home? Animal Behaviour 71(1), 161–171 (2006)

    Article  Google Scholar 

  5. Camazine, S., Franks, N.R., Sneyd, J., Bonabeau, E., Deneubourg, J.L., Theraulaz, G.: Self-Organization in Biological Systems. Princeton University Press, Princeton (2001)

    Google Scholar 

  6. Reynolds, C.: Flocks, herds and schools: A distributed behavioral model. In: Stone, M.C. (ed.) SIGGRAPH 1987: Proc. of the 14th Annual Conference on Computer graphics and Interactive Techniques, pp. 25–34. ACM, New York (1987)

    Chapter  Google Scholar 

  7. Matarić, M.J.: Interaction and Intelligent Behavior. PhD thesis, MIT, MA (1994)

    Google Scholar 

  8. Kelly, I., Keating, D.: Flocking by the fusion of sonar and active infrared sensors on physical autonomous robots. In: Proc. of the Third Int. Conf. on Mechatronics and Machine Vision in Practice, pp. 14–17 (1996)

    Google Scholar 

  9. Spears, W.M., Spears, D.F., Hamann, J.C., Heil, R.: Distributed, physiscs-based control of swarms of vehicles. Autonomous Robots 17, 137–162 (2004)

    Article  Google Scholar 

  10. Holland, O., Woods, J., Nardi, R., Clark, A.: Beyond swarm intelligence: the ultraswarm. In: Proc. of the IEEE Swarm Intelligence Symposium, Piscataway, NJ, pp. 217–224. IEEE Press, Los Alamitos (2005)

    Chapter  Google Scholar 

  11. Hayes, A., Dormiani-Tabatabaei, P.: Self-organized flocking with agent failure: Off-line optimization and demonstration with real robots. In: Proc. of the IEEE Int. Conf. on Robotics and Automation, Piscataway, NJ, pp. 3900–3905. IEEE Press, Los Alamitos (2002)

    Google Scholar 

  12. Campo, A., Nouyan, S., Birattari, M., Groß, R., Dorigo, M.: Negotiation of goal direction for cooperative transport. In: Dorigo, M., Gambardella, L.M., Birattari, M., Martinoli, A., Poli, R., Stützle, T. (eds.) ANTS 2006. LNCS, vol. 4150, pp. 191–202. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Turgut, A.E., Çelikkanat, H., Gökçe, F., Şahin, E.: Self-organized flocking in mobile robot swarms. Swarm Intelligence 2(2), 97–120 (2008)

    Article  Google Scholar 

  14. Çelikkanat, H., Turgut, A.E., Şahin, E.: Guiding a robot flock via informed robots. In: Asama, Kurokawa, Ota, Sekiyama (eds.) Distributed Autonomous Robotic Systems (DARS 2008), Berlin, Germany, pp. 215–225. Springer, Heidelberg (2008)

    Google Scholar 

  15. Reebs, S.G.: Can a minority of informed leaders determine the foraging movements of a fish shoal? Animal behaviour 59, 403–409 (2000)

    Article  Google Scholar 

  16. Tanner, H.G., Jadbabaie, A., Pappas, G.J.: Stable flocking of mobile agents part II: Dynamic topology. In: Proc. of the 42nd IEEE Conference on Decision and Control, Piscataway, NJ, vol. 2, pp. 2016–2021. IEEE Press, Los Alamitos (2003)

    Google Scholar 

  17. Roberts, J., Stirling, T., Zufferey, J., Floreano, D.: 2.5d infrared range and bearing system for collective robotics. In: Papanikolopoulos, N., Sugano, S., Chiaverini, S., Meng, M. (eds.) IEEE/RSJ International Conference on Intelligent Robots and Systems, Piscataway, NJ. IEEE Press, Los Alamitos (2009)

    Google Scholar 

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Ferrante, E., Turgut, A.E., Mathews, N., Birattari, M., Dorigo, M. (2010). Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds) Parallel Problem Solving from Nature, PPSN XI. PPSN 2010. Lecture Notes in Computer Science, vol 6239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15871-1_34

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  • DOI: https://doi.org/10.1007/978-3-642-15871-1_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15870-4

  • Online ISBN: 978-3-642-15871-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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