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The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7248))

Abstract

We investigate whether a swarm of robots can evolve controllers that cause aggregation into ‘multi-cellular’ robot organisms without a specific reward to do so. To this end, we create a world where aggregated robots receive more energy than individual ones and enable robots to evolve their controllers on-the-fly, during their lifetime. We perform experiments in six different implementations of the basic idea distinguished by the system of energy distribution and the level of advantage aggregated robots have over individual ones. The results show that ‘multi-cellular’ robot organisms emerge in all of these cases.

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References

  1. Bianco, R., Nolfi, S.: Toward open-ended evolutionary robotics: evolving elementary robotic units able to self-assemble and self-reproduce. Connection Science 16(4), 227–248 (2004)

    Article  Google Scholar 

  2. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press (1999)

    Google Scholar 

  3. Şahin, E.: Swarm robotics: From sources of inspiration to domains of application. Swarm Robotics, 10–20 (2005)

    Google Scholar 

  4. Eiben, A.E., Haasdijk, E., Bredeche, N.: Embodied, on-line, on-board evolution for autonomous robotics. In: Levi, P., Kernbach, S. (eds.) Symbiotic Multi-Robot Organisms: Reliability, Adaptability, Evolution, vol. ch. 5.2, pp. 361–382. Springer, Heidelberg (2010)

    Google Scholar 

  5. Groß, R., Bonani, M., Mondada, F., Dorigo, M.: Autonomous self-assembly in swarm-bots. IEEE Transactions on Robotics 22, 1115–1130 (2006)

    Article  Google Scholar 

  6. Groß, R., Dorigo, M.: Evolution of solitary and group transport behaviors for autonomous robots capable of self-assembling. Adaptive Behavior 16(5), 285 (2008)

    Article  Google Scholar 

  7. Haasdijk, E., Eiben, A.E., Karafotias, G.: On-line evolution of robot controllers by an encapsulated evolution strategy. In: Proceedings of the 2010 IEEE Congress on Evolutionary Computation. IEEE Press (2010)

    Google Scholar 

  8. Huijsman, R.J., Haasdijk, E., Eiben, A.: An on-line on-board distributed algorithm for evolutionary robotics. In: Hao, J., Legrand, P., Collet, P., Monmarch, N., Lutton, E., Schoenauer, M. (eds.) Proceedings of Artificial Evolution, 10th International Conference on Evolution Artificielle, EA 2011 (2011)

    Google Scholar 

  9. Kernbach, S., Meister, E., Scholz, O., Humza, R., Liedke, J., Rico, L., Jemai, J., Havlik, J., Liu, W.: Evolutionary robotics: The next-generation-platform for on-line and on-board artificial evolution. In: 2009 IEEE Congress on Evolutionary Computation, pp. 1079–1086 (2009)

    Google Scholar 

  10. Kutzer, M.D.M., Moses, M.S., Brown, C.Y., Scheidt, D.H., Chirikjian, G.S., Armand, M.: Design of a new independently-mobile reconfigurable modular robot. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 2758–2764. IEEE (2010)

    Google Scholar 

  11. Laredo, J.L.J., Eiben, A.E., Steen, M., Merelo, J.J.: EvAg: a scalable peer-to-peer evolutionary algorithm. Genetic Programming and Evolvable Machines 11(2), 227–246 (2009)

    Article  Google Scholar 

  12. Mondada, F., Pettinaro, G.C., Guignard, A., Kwee, I.W., Floreano, D., Deneubourg, J.L., Nolfi, S., Gambardella, L.M., Dorigo, M.: Swarm-bot: A new distributed robotic concept. Autonomous Robots 17(2/3), 193–221 (2004)

    Article  Google Scholar 

  13. Nolfi, S., Floreano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. MIT Press, Cambridge (2000)

    Google Scholar 

  14. O’Grady, R., Christensen, A.L., Dorigo, M.: Autonomous Reconfiguration in a Self-assembling Multi-robot System. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds.) ANTS 2008. LNCS, vol. 5217, pp. 259–266. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Smit, S.K., Eiben, A.E.: Multi-problem parameter tuning using BONESA. In: Hao, J., Legrand, P., Collet, P., Monmarch, N., Lutton, E., Schoenauer, M. (eds.) Proceedings of Artificial Evolution, 10th International Conference on Evolution Artificielle (EA 2011), pp. 222–233 (2011)

    Google Scholar 

  16. Wei, H., Cai, Y., Li, H., Li, D., Wang, T.: Sambot: A self-assembly modular robot for swarm robot. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 66–71. IEEE (2010)

    Google Scholar 

  17. Yim, M., Shen, W.M., Salemi, B., Rus, D., Moll, M., Lipson, H., Klavins, E., Chirikjian, G.S.: Modular self-reconfigurable robot systems [grand challenges of robotics]. IEEE Robotics & Automation Magazine 14(1), 43–52 (2007)

    Article  Google Scholar 

  18. Yim, M., Shirmohammadi, B., Sastra, J., Park, M., Dugan, M., Taylor, C.: Towards robotic self-reassembly after explosion. In: 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2767–2772. IEEE (2007)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Weel, B., Haasdijk, E., Eiben, A.E. (2012). The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2012. Lecture Notes in Computer Science, vol 7248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29178-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-29178-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29177-7

  • Online ISBN: 978-3-642-29178-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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