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Resumen
Se presenta un modelo emergente de cooperación y comunicación que involucra un conjunto de robots MarxBot. La tarea consiste en recolección de materia prima almacenada y su depósito en la banda de procesamiento, además de la recolección del elemento fabricado y su depósito en una banda de empaquetado. Los robots son controlados mediante redes neuronales artificiales que son optimizadas mediante un algoritmo genético en el simulador robótico conocido como FARSA (framework for autonomous robotics simulation and analysis). Se prueba en un ambiente simulado de grupos homogéneos de robots con comunicación emergente basada en diodos emisores de luz (LED, por sus siglas en inglés), los cuales tienen un mejor rendimiento en la tarea propuesta que un sistema de comunicación con señales preestablecidas y un grupo que no tiene capacidad de comunicación. Esto se debe al nivel de organización provisto por la emergencia de señales que proviene del grupo y de la interacción con el entorno. Esto demuestra que la perspectiva de la robótica evolutiva es aplicable a las necesidades de la Industria 4.0.
Citas
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