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Investigación sobre el diseño de la generación de conceptos de asientos de automóviles basados en la co-creación
Yunpeng Bai1,2,3, Min Zhao1,2,3, Yuanjun Li2
1School of Mechatronic Engineering, Northwestern Polytechnical University, Xi'an, 710072, China.
Scientific reports
|September 1, 2025
Resumen
Este estudio introduce un marco de co-creación hombre-máquina utilizando ResNet-DCGAN para el diseño innovador de asientos de automóviles. Reduce las barreras para los no profesionales, mejorando la colaboración interdisciplinaria y la creatividad impulsada por la IA en el desarrollo de productos.
Área de la Ciencia:
- Ingeniería
- Ciencias de la computación
- Estudios de diseño
Sus antecedentes:
- El diseño tradicional de asientos de automóviles puede ser complejo y puede limitar la entrada interdisciplinaria.
- Mejorar la creatividad y la accesibilidad en el diseño de productos es un desafío continuo.
Objetivo del estudio:
- Desarrollar un marco de co-creación hombre-máquina para el diseño conceptual de asientos de automóviles.
- Aprovechar la IA, específicamente ResNet-DCGAN, para aumentar la creatividad y reducir las barreras de diseño para los no profesionales.
- Demostrar la viabilidad del aumento de la creatividad impulsado por la IA en el diseño de productos.
Principales métodos:
- Construyó un conjunto de datos de imágenes de asientos de automóviles.
- Implementó estrategias de diseño generativo en tres etapas clave.
- Utilizó una red adversa generativa convolucional profunda mejorada (ResNet-DCGAN) para la generación de diseños.
Principales resultados:
- El marco ResNet-DCGAN generó con éxito esquemas innovadores de diseño de asientos de automóviles a partir de la información proporcionada por los usuarios.
- El enfoque de co-creación hombre-máquina estimuló el pensamiento innovador y redujo la dificultad de diseño.
- El sistema proporcionaba diseños que cumplían con los requisitos estéticos del público.
Conclusiones:
- Los marcos de co-creación hombre-máquina, impulsados por IA como ResNet-DCGAN, pueden mejorar significativamente los procesos de diseño de productos.
- Este enfoque fomenta la innovación interdisciplinaria y hace que las tareas de diseño complejas sean más accesibles.
- El estudio proporciona una base teórica para la futura investigación de innovación colaborativa hombre-máquina.
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