Abstract
We show how Cellular Neural Networks are capable of providing the necessary signal processing to guide an autonomous mobile robot in a maze drawn on the floor. In this way, a non-trivial navigation task is obtained by very simple hardware, making real autonomous operation feasible. An autonomous line-following robot was first simulated and then implemented by simulating the CNN with a DSP. © Springer-Verlag Berlin Heidelberg 2001.
Cite
CITATION STYLE
Balsi, M., Maraschini, A., Apicella, G., Luengo, S., Solsona, J., & Vilasís-Cardona, X. (2001). Cellular neural networks for mobile robot vision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 484–491). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_58
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