A FPGA-Based Neuromorphic Locomotion System for Multi-Legged Robots

Erick Israel Guerra-Hernandez, Andres Espinal, Patricia Batres-Mendoza, Carlos Hugo Garcia-Capulin, Rene J. De Romero-Troncoso, Horacio Rostro-Gonzalez

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24 Cites (Scopus)

Resum

The paper develops a neuromorphic system on a Spartan 6 field programmable gate array (FPGA) board to generate locomotion patterns (gaits) for three different legged robots (biped, quadruped, and hexapod). The neuromorphic system consists of a reconfigurable FPGA-based architecture for a 3G artificial neural network (spiking neural network), which acts as a Central Pattern Generator (CPG). The locomotion patterns, are then generated by the CPG through a general neural architecture, which parameters are offline estimated by means of grammatical evolution and Victor-Purpura distance-based fitness function. The neuromorphic system is fully validated on real biped, quadruped, and hexapod robots.

Idioma originalAnglès
Número d’article7909022
Pàgines (de-a)8301-8312
Nombre de pàgines12
RevistaIEEE Access
Volum5
DOIs
Estat de la publicacióPublicada - 2017
Publicat externament

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