Abstract
In this paper a reaction-diffusion CNN is implemented to generate and adaptively control locomotion in a biologically inspired walking robot. In particular a dedicated CNN development system has been realised to make the mechatronic device able to select, based on sensory stimuli, the most suitable locomotion type according to the environment. The first example of analog implementation of the biological paradigm of the Central Pattern Generator is therefore presented.
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Arena, P., Fortuna, L. & Branciforte, M. Realization of a Reaction-Diffusion CNN Algorithm for Locomotion Control in an Hexapode Robot. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 23, 267–280 (1999). https://doi.org/10.1023/A:1008136816806
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DOI: https://doi.org/10.1023/A:1008136816806