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Computación mecánica
Hiromi Yasuda1, Philip R Buskohl2, Andrew Gillman2
1Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA.
Nature
|October 7, 2021
Resumen
Los investigadores exploran los sistemas de computación mecánica que combinan la ciencia de los materiales y la robótica. Estos nuevos sistemas ofrecen un nuevo paradigma para el procesamiento de información, aumentando potencialmente la computación electrónica al adaptarse a su entorno.
Área de la Ciencia:
- Ciencias de los materiales
- La robótica
- Ingeniería informática
Sus antecedentes:
- Los mecanismos mecánicos tienen una larga historia de procesamiento de información, que es anterior a la computación electrónica.
- La computación electrónica domina debido a las ventajas de miniaturización e integración.
- Los enfoques informáticos no convencionales fusionan el procesamiento de información con la ciencia de los materiales y la robótica.
Objetivo del estudio:
- Discutir el uso de mecanismos mecánicos y no linealidades para el procesamiento de la información.
- Proponer un marco para materiales y estructuras adaptables como redes de procesamiento de información distribuida.
- Explorar el procesamiento de la información de visualización como una propiedad material inherente.
Principales métodos:
- Centrarse en la abstracción de la lógica digital dentro de los sistemas mecánicos.
- Análisis de cómo los sistemas de computación mecánica difieren de la computación electrónica tradicional.
- Identificación de desafíos y oportunidades en la computación mecánica.
Principales resultados:
- Los sistemas mecánicos pueden procesar información, aprovechando las no linealidades.
- Los materiales adaptables pueden formar redes de procesamiento de información distribuidas.
- El procesamiento de la información se puede conceptualizar como una propiedad material.
Conclusiones:
- La computación mecánica presenta una alternativa viable y un aumento de la computación electrónica.
- Este enfoque abre nuevas vías para integrar la computación en los sistemas físicos.
- Se necesita más investigación para superar los desafíos y darse cuenta de las oportunidades en la computación mecánica.
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