Abstract
This paper investigates the ability of STRAGEN to construct state trajectories so as to control the locomotion of legged robots. STRAGEN is a model of a self-organized artificial neural network which has a variable topology. Two scenarios are developed: one for checking the behavior of STRAGEN vis-à-vis noisy data and other to test the ability of STRAGEN to construct states belonging to different trajectories.
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Santana, O.V., Araújo, A.F.R. (2010). A Self-Organizing Map for Controlling Artificial Locomotion. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15822-3_51
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DOI: https://doi.org/10.1007/978-3-642-15822-3_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15821-6
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