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A Distributed Scalable Approach to Formation Control in Multi-robot Systems

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Distributed Autonomous Robotic Systems 8

Abstract

A new algorithm for the control of formations of mobile robots is presented. Formations with a triangular lattice structure are created using distributed control rules, using only local information on each robot. The overall direction of movement of the formation is not pre-established but rather results from local interactions, giving all the robots a common, self-organized heading. Experiments were done to test the algorithm, yielding results in which robots behaved as expected, moving at a reasonable speed and maintaining the desired distances among themselves. Up to seven robots were used in real experiments and up to forty in simulation.

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References

  1. Arkin, R.C.: Motor schema-based mobile robot navigation. The International Journal of Robotics Research 8, 92–112 (1989)

    Article  MathSciNet  Google Scholar 

  2. Balch, T., Arkin, R.: Behavior-based formation control for multi-robot teams. IEEE Transactions on Robotics and Automation 14(6), 926–939 (1998)

    Article  Google Scholar 

  3. Balch, T., Hybinette, M.: Social potentials for scalable multi-robot formations. In: IEEE International Conference on Robotics and Automation, vol. 1, pp. 73–80 (2000)

    Google Scholar 

  4. Das, A., Fierro, R., Kumar, V., Ostrowski, J., Spletzer, J., Taylor, C.: A vision-based formation control framework. IEEE Transactions on Robotics and Automation 18(5), 813–825 (2002)

    Article  Google Scholar 

  5. Fax, J., Murray, R.: Information flow and cooperative control of vehicle formations. IEEE Transactions on Automatic Control 49(9), 1465–1476 (2004)

    Article  MathSciNet  Google Scholar 

  6. Fredslund, J., Mataric, M.J.: A general algorithm for robot formations using local sensing and minimal communication. IEEE Transactions on Robotics and Automation, Special Issue on Multi Robot Systems 18(5), 837–846 (2002)

    Article  Google Scholar 

  7. Fujibayashi, K., Murata, S., Sugawara, K., Yamamura, M.: Self-organizing formation algorithm for active elements. In: SRDS 2002: Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems (SRDS 2002), pp. 416–421. IEEE Computer Society Press, Los Alamitos (2002)

    Google Scholar 

  8. Hayes, A.T., Martinoli, A., Goodman, R.M.: Distributed odor source localization. IEEE Sensors Journal 2(3), 260–271 (2002); special Issue on Artificial Olfaction, Nagle, H.T., Gardner, J.W., Persaud, K. (eds.)

    Article  Google Scholar 

  9. Howard, A.: Multi-robot mapping using manifold representations. In: IEEE International Conference on Robotics and Automation, vol. 4, pp. 4198–4203 (2004)

    Google Scholar 

  10. Hsu, H., Liu, A.: Multiagent-based multi-team formation control for mobile robots. Journal of Intelligent and Robotic Systems 42, 337–360 (2005)

    Article  Google Scholar 

  11. Kostelnik, P., Samulka, M., Janosik, M.: Scalable multi-robot formations using local sensing and communication. In: Proceedings of the Third International Workshop on Robot Motion and Control, 2002. RoMoCo 2002, p. 319–324 (2002)

    Google Scholar 

  12. Martinson, E., Payton, D.: Lattice formation in mobile autonomous sensor arrays. In: Şahin, E., Spears, W. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 98–111. Springer, Heidelberg (2005)

    Google Scholar 

  13. Michel, O.: Webots: Professional mobile robot simulation. Journal of Advanced Robotics Systems 1(1), 39–42 (2004)

    Google Scholar 

  14. Naffin, D.J., Sukhatme, G.S.: Negotiated formations. In: International Conference on Intelligent Autonomous Systems, pp. 181–190 (2004)

    Google Scholar 

  15. Pugh, J., Martinoli, A.: Relative localization and communication module for small-scale multi-robot systems. In: IEEE International Conference on Robotics and Automation, USA, pp. 188–193 (2006)

    Google Scholar 

  16. Pugh, J., Martinoli, A.: Small-scale robot formation movement using a simple on-board relative positioning system. In: Khatib, O., Kumar, V., Rus, D. (eds.) International Symposium on Experimental Robotics, Rio de Janeiro, Brazil. Springer Tracts in Advanced Robotics, vol. 39, pp. 297–306 (2006)

    Google Scholar 

  17. Pugh, J., Martinoli, A.: Inspiring and modeling multi-robot search with particle swarm optimization. In: IEEE Swarm Intelligence Symposium, pp. 332–339 (2007)

    Google Scholar 

  18. Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioral model. Computer Graphics 21(4), 25–34 (1987)

    Article  MathSciNet  Google Scholar 

  19. Sahin, E.: Swarm robotics: From sources of inspiration to domains of application. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005)

    Google Scholar 

  20. Spears, W., Spears, D., Hamann, J., Heil, R.: Distributed, physics-based control of swarms of vehicles. Autonomous Robots 17, 137–162 (2004)

    Article  Google Scholar 

  21. Spears, W., Spears, D., Heil, R., Kerr, W., Hettiarachchi, S.: An overview of physicomimetics. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 84–97. Springer, Heidelberg (2005)

    Google Scholar 

  22. Spears, W.M., Heil, R., Spears, D.F., Zarzhitsky, D.: Physicomimetics for mobile robot formations. In: AAMAS 2004, pp. 1528–1529. IEEE Computer Society, Los Alamitos (2004)

    Google Scholar 

  23. Tanner, H., Jadbabaie, A., Pappas, G.: Stable flocking of mobile agents, part i: fixed topology. In: Proceedings. 42nd IEEE Conference on Decision and Control, vol. 2, pp. 2010–2015 (2003)

    Google Scholar 

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Navarro, I., Pugh, J., Martinoli, A., Matía, F. (2009). A Distributed Scalable Approach to Formation Control in Multi-robot Systems. In: Asama, H., Kurokawa, H., Ota, J., Sekiyama, K. (eds) Distributed Autonomous Robotic Systems 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00644-9_18

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  • DOI: https://doi.org/10.1007/978-3-642-00644-9_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00643-2

  • Online ISBN: 978-3-642-00644-9

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