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Evolved Homogeneous Neuro-controllers for Robots with Different Sensory Capabilities: Coordinated Motion and Cooperation

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From Animals to Animats 9 (SAB 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4095))

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Abstract

This paper tackles the issue of designing homogeneous neuro-controllers with artificial evolution in order to control groups of robots that differ in terms of sensory capabilites. In order to accomplish a common goal, the agents have to complement the partial “view” they have of the environment. The results obtained prove that the agents are capable of cooperating and coordinating their actions in order to carry out a navigation task. A preliminary analysis of the mechanisms underlying the group behaviour is provided.

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References

  1. Baldassarre, G., Nolfi, S., Parisi, D.: Evolving mobile robots able to display collective behaviour. Artificial Life 9, 255–267 (2003)

    Article  Google Scholar 

  2. Cangelosi, A., Parisi, D. (eds.): Simulating the Evolution of Language. Springer, London (2002)

    MATH  Google Scholar 

  3. Dudek, G., Jenkin, M.: Computational Principles of Mobile Robotics. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  4. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)

    MATH  Google Scholar 

  5. Marocco, D., Nolfi, S.: Emergence of communication in embodied agents: Co-adapting communicative and non-communicative behaviours. In: Cangelosi, A., Bugmann, G., Borisyuk, R. (eds.) Modeling language, cognition and action: 9th Neural Computation and Psychology Workshop. World Scientific, London (2005)

    Google Scholar 

  6. Mondada, F., Pettinaro, G.C., Guignard, A., Kwee, I.V., 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 

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

    Google Scholar 

  8. Di Paolo, E.: Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents. Adaptive Behavior 8(1), 27–48 (2000)

    Article  Google Scholar 

  9. Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press, Cambridge (2001)

    Google Scholar 

  10. Quinn, M.: Evolving Communication without Dedicated Communication Channels. In: Kelemen, J., Sosík, P. (eds.) ECAL 2001. LNCS, vol. 2159, pp. 357–366. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  11. Quinn, M., Smith, L., Mayley, G., Husbands, P.: Evolving controllers for a homogeneous system of physical robots: Structured cooperation with minimal sensors. Phil. Trans. of the Royal Soc. of London, Series A. 361, 2321–2344 (2003)

    Article  MathSciNet  Google Scholar 

  12. Vicentini, F., Tuci, E.: Swarmod: a 2d s-bot’s simulator. Technical Report TR/IRIDIA/2006-005, IRIDIA, Université Libre de Bruxelles (2006), This paper is available at: http://iridia.ulb.ac.be/IridiaTrSeries

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© 2006 Springer-Verlag Berlin Heidelberg

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Tuci, E., Ampatzis, C., Vicentini, F., Dorigo, M. (2006). Evolved Homogeneous Neuro-controllers for Robots with Different Sensory Capabilities: Coordinated Motion and Cooperation. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_56

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  • DOI: https://doi.org/10.1007/11840541_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38608-7

  • Online ISBN: 978-3-540-38615-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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