Abstract
Recurrent neural networks are applied to the forward modeling of the sensory-motor flow of a miniature mobile robot. It is shown that the robot is able to predict the sensory flow a few steps ahead, which suffices for simple environments. The proposed method requires mainly topological information (little geometrical information is used), simplifying the problem considerably.
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© 2001 Springer-Verlag Wien
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Šter, B. (2001). Recurrent Neural Networks in a Mobile Robot Navigation Task. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_41
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_41
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83651-4
Online ISBN: 978-3-7091-6230-9
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