Abstract
One of the fundamental abilities required in autonomous mobile agents is the one of homing. Natural agents like ants solve this problem by mainly using dead-reckoning mechanisms within an egocentric frame of reference. Here we present a biologically inspired orientation mechanism, an adaptive light compass, that was used for homing in ”Myrmix”, a mobile robot equipped with infrared and ambient light sensors. The control architecture is adaptive by using a self-organizing neural network. Herewith, the robot learns to associate signals coming from the light sensors with the corresponding motor actions. This approach is less computational than others, since apart from the length of the path travelled it is based on local rules. Preliminary results of experiments with this control architecture are reported and contrasted with a similar, but more computational, architecture introduced by [5].
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© 1995 Springer-Verlag Berlin Heidelberg
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Lambrinos, D. (1995). Navigating with an adaptive light compass. 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_329
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DOI: https://doi.org/10.1007/3-540-59496-5_329
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