Research on Integration Path of Artificial Intelligence Technology and Digital Fabrication in Design Field
Abstract:
With the introduction of new construction methods in recent years, many AI and digital fabrication (DF) technologies are now being used to build buildings. Systematically explore the integration paths of AI technology, including machine learning, computer vision and generative design, with digital fabrication processes such as additive manufacturing and robotic assembly, in this paper. Based on the present design-to-robotic-production (D2RP) framework, this paper demonstrates how AI can bridge the gap between virtual design optimisation and real-world material constraints. The three conceptualized integration paths are as follows: AI-driven generative conceptualization, fabrication-aware predictive parameterization, and real-time human-robot collaborative construction. Based on the above results, these technologies will change the nature of an architect's work to that of a digital artisan, enabling the creation of complex, materially sensitive and performative buildings. In short, this study offers an all-around plan for applying AI and digital fabrication to address the current problems of inefficiency in civil construction, promoting the development of environmentally friendly, high-precision and personalised architecture.
Keywords:
Artificial Intelligence, Digital Fabrication, Generative Design, Robotic Assembly, Additive Manufacturing, Architecture
APA Citation:
Peizhi Yang (2026). Research on Integration Path of Artificial Intelligence Technology and Digital Fabrication in Design Field. International Journal of Materials Science and Technology Studies, 5(4), 31-36. https://doi.org/10.62051/ijmsts.v5n4.04
References
- Tamke, M., Nicholas, P., & Zwierzycki, M. (2018). Machine learning for architectural design: Practices and infrastructure. International Journal of Architectural Computing, 16(2), 123 143.
- As, I., & Basu, P. (Eds.). (2021). The Routledge companion to artificial intelligence in architecture. Routledge.
- van Ameijde, J. (2018). Generative architectural design and build strategies based on the mapping of human behaviour. In Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) (pp. 546 553). Berlin, Germany.
- Fallacara, G., Fanti, M. P., Parisi, F., Parisi, N., & Sangiorgio, V. (2023). AI driven image generation for enhancing design in digital fabrication: Urban furnishings in historic city centres. CEUR Workshop Proceedings, 3600, Paper 2.
- Lao, W., Li, M., Wong, T. N., Tan, M. J., & Tjahjowidodo, T. (2020). Improving surface finish quality in extrusion based 3D concrete printing using machine learning based extrudate geometry control. Virtual and Physical Prototyping, 15(2), 178 193.
- Nicholas, P. (2021). Machining and machine learning: Extending architectural digital fabrication through AI. In I. As & P. Basu (Eds.), The Routledge companion to artificial intelligence in architecture (pp. 394 404). Routledge.
- Moya Jiménez, R., Goyes Balladares, A., Moya Jiménez, G., Medina Moncayo, A., Chávez Ortiz, B., Obando Navas, C., & Arias Granda, S. (2026). Application of computer vision and parametric design algorithms for the reuse of construction materials. Buildings, 16(1), 184.
- Erdağ, A. A., & Sorguç, A. G. (2025). The architect as digital craftsman: Revisiting manual dexterity through artificial intelligence. In Proceedings of the 43rd Education and Research in Computer Aided Architectural Design in Europe Conference (eCAADe 2025) (Vol. 2, pp. 483 492).
- Roncoroni, U. L., Crousse de Vallongue, V., & Centurion Bolaños, O. (2025). Computational creativity issues in generative design and digital fabrication of complex 3D meshes. International Journal of Architectural Computing, 23(2), 582 600.
- Bier, H., & Mostafavi, S. (2015). Structural optimization for materially informed design to robotic production processes. American Journal of Engineering and Applied Sciences, 8(4), 549 555.
- Garcés, G. (2025). Advances in human robot collaboration (HRC) in construction 5.0 for building construction: A bibliometric and systematic literature review. Journal of Information Technology in Construction, 30, 1244 1276.
- Mostafavi, S., Anton, A., & Bodea, S. (2017). Design to robotic production for informed materialization processes. SPOOL, 4(1), 7 12.