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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© 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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