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Towards a reliable set-up for bio-inspired collective experiments with real robots

  • Chapter 13 Cooperative Multirobots
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Experimental Robotics V

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 232))

Abstract

This paper describes a set of tools developed at our laboratory that provide a reliable set-up for conducting bio-inspired experiments with real robots. We focus on the hardware tools needed to monitor team performances as well as those to achieve collective adaptive behaviours. We propose concrete solutions to some of the main problems in collective robotics. The four main results we derive are: first, the hardware modularity of the miniature robot Khepera [1] allows us to build a flexible set-up; second, the energy autonomy problem is solved in a reliable way for experimenting with real robots during several hours; third, the communication architecture among teammates and/or with a supervisor unit is designed to prevent bandwidth bottlenecks with bigger robot teams; fourth, the use of programmable active pucks (also called “seeds” below) extends the set of possible bio-inspired experiments without increasing the sensorial complexity of the robots. A simple bio-inspired collective experiment, the gathering and clustering of randomly distributed passive seeds, is presented as an example as well as a test-bed for the extended autonomy tool. The results are compared with those reported in [2, 3].

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References

  1. F. Mondada, E. Franzi, and P. Ienne. Mobile robot miniaturization: A tool for investigation in control algorithms. In Proceedings of the Third International Symposium on Experimental Robotics ISER-93, pages 501–513, Kyoto, Japan, 1993.

    Google Scholar 

  2. A. Martinoli and F. Mondada. Collective and cooperative group behaviours: Biologically inspired experiments in robotics. In O. Khatib and J. K. Salisbury, editors, Proceedings of the Fourth International Symposium on Experimental Robotics ISER-95, pages 3–10, Stanford, U.S.A., June 1995. Springer Verlag.

    Google Scholar 

  3. A. Martinoli, M. Yamamoto, and F. Mondada. On the modelling of bioinspired collective experiments with real robots. In Proceedings of the Fourth European Conference on Artificial Life ECAL-97, Brighton, UK, July 1997. http://www.cogs.susx.ac.uk/eca197/present.html.

    Google Scholar 

  4. J. C. Deneubourg, P. S. Clip, and S. S. Camazine. Ants, buses and robots self-organization of transportation systems. In P. Gaussier and J-D. Nicoud, editors, Proceedings of the conference From Perception to Action, pages 12–23. IEEE Press, Los Alamitos, CA, 1994.

    Chapter  Google Scholar 

  5. N. Franceschini, J.-M. Pichon, and C. Blanes. Real time visuomotor control: From flies to robots. In Proceedings of the Fifth International Conference on Advanced Robotics, pages 91–95, Pisa, June 1991.

    Google Scholar 

  6. D. Floreano and Mondada F. Evolution of homing navigation in a real mobile robot. IEEE Transactions on Systems, Man and Cybernetics, 26:396–407, June 1996.

    Article  Google Scholar 

  7. E. G. Bonabeau and Theraulaz G. Intelligence Collective. Hermès, Paris, France, 1994.

    MATH  Google Scholar 

  8. Millan J. del R. Reinforcement learning of goal-directed obstacle-avoiding reaction strategies in an autonomous mobile robot. Robotics and Autonomous Systems, 15:275–299, 1995.

    Article  Google Scholar 

  9. C. Versino and L. M. Gambardella. Ibots learn genuine team solutions. In M. Van Someren and G. Widmer, editors, Proceedings European Machine Learning ECML-97, pages 298–311, Kyoto, Japan, 1997. Springer Verlag. Lecture Notes in Artificial Intelligence.

    Google Scholar 

  10. L.E. Parker. The effect of action recognition and robot awareness in cooperative robotic teams. In Proceedings of IEEE International Conference on Intelligent Robots and Systems IROS-95, volume 1, pages 212–219, Pittsburgh, PA, August 1995. Springer Verlag.

    Google Scholar 

  11. M. J. Matarić. Learning in multi-robot systems. In G. Weiss and S. Sen, editors, Adaptation and Learning in Multi-Agent Systems, volume 1042, pages 152–163. Springer Verlag, Lecture Notes in Artificial Intelligence, 1996.

    Google Scholar 

  12. A. Muricano and J. del R. Millán. Learning signaling behaviors and specialization in cooperative agents. Adaptive Behavior, 5(1):5–28, 1997.

    Article  Google Scholar 

  13. D. Goldberg and M. J. Matarić. Interference as tool for designing and evaluating multi-robot controllers. CS-96-186, Brandeis University Computer Science Technical Report, 1996.

    Google Scholar 

  14. M. Maris and R. te Boekhorst. Exploiting physical constraints: Heap formation through behavioral error in a group of robots. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems IROS-96, volume 3, pages 1655–1660, Osaka, Japan, November 1996.

    Google Scholar 

  15. T. C. Lüth, J. Hellqvist, and T. Längle. Distributing real-time control tasks among multi-agent robot systems. In Proceedings of the World Automation Congress WAC-96, volume 3, pages 477–482, Montpellier, France, May 1996.

    Google Scholar 

  16. M. Jufer, L. Cardoletti, P. Germano, B. Arnet, M. Perrottet, and N. Macabrey. Induction contactless energy transmission system for an electric vehicle. In Proceedings of International Conference on Electrical Machines ICEM-96, volume II, pages 343–347, Vigo, Septembre 1996.

    Google Scholar 

  17. K-Team SA. Khepera user manual. Version 4.06, 1995.

    Google Scholar 

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Alicia Casals Anibal T. de Almeida

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© 1998 Springer-Verlag London Limited

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Martinoli, A., Franzi, E., Matthey, O. (1998). Towards a reliable set-up for bio-inspired collective experiments with real robots. In: Casals, A., de Almeida, A.T. (eds) Experimental Robotics V. Lecture Notes in Control and Information Sciences, vol 232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0112995

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  • DOI: https://doi.org/10.1007/BFb0112995

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