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Collision avoidance using an egocentric memory of proximity

  • 5. Robotics and Emulation of Animal Behavior
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Advances in Artificial Life (ECAL 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 929))

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Abstract

This paper describes a formal model of a dynamic and egocentric memory used for predicting the evolution of a local function of proximity. This model is represented by a polar function able to trig the reactive behaviors (reflex actions for collision avoidance) of a planar mobile robot. It also addresses the implementation of this model with an artificial neural network first on a simulator that has been developed in order to test this model and also on a real holonomic autonomous robot.

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Authors

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Federico Morán Alvaro Moreno Juan Julián Merelo Pablo Chacón

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© 1995 Springer-Verlag Berlin Heidelberg

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Zapata, R., Lépinay, P., Déplanques, P. (1995). Collision avoidance using an egocentric memory of proximity. In: Morán, F., Moreno, A., Merelo, J.J., Chacón, P. (eds) Advances in Artificial Life. ECAL 1995. Lecture Notes in Computer Science, vol 929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59496-5_330

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  • DOI: https://doi.org/10.1007/3-540-59496-5_330

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59496-3

  • Online ISBN: 978-3-540-49286-3

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