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The integration of robotic 3D printing coupling algorithms in prefabricated building decarbonization is revolutionizing construction, particularly in extreme climates where traditional methods face logistical and environmental constraints. This study examines robotic 3D printing and modular prefabrication to enhance energy efficiency, structural resilience, and carbon footprint reduction, with applications from subarctic architecture to extraterrestrial habitats. A bibliometric analysis of 500 papers highlights key trends in automation, AI-driven generative design, and multi-material printing. The case study of Tomamu. The Tower in Japan, analyzed through parametric modeling, finite element analysis (FEA), and energy simulations, demonstrates a 1.89% reduction in embodied carbon emissions (CEI3DPC vs. CEI3DCC) and improved thermal efficiency. Additionally, computational simulations explore the feasibility of AI-enhanced robotic assembly and in-situ resource utilization (ISRU) for autonomous off-world construction. This research advances low-carbon, high-performance prefabricated architecture, providing insights into scalable robotic fabrication for both terrestrial and interstellar environments, emphasizing sustainability, standardization, and automation in future construction ecosystems.

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Robotic 3D Printing Coupling Algorithm in Prefabricated Building Decarbonization Design from Extreme Environment to Interstellar Habitats: A Case Tomamu the Tower in Japan

  • 会议论文

  • 发表日期：

    2026年

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  • Gangwei Cai,
  • Dongyu Liu,
  • Qian Wu,
  • Jiangfeng He

摘要

The integration of robotic 3D printing coupling algorithms in prefabricated building decarbonization is revolutionizing construction, particularly in extreme climates where traditional methods face logistical and environmental constraints. This study examines robotic 3D printing and modular prefabrication to enhance energy efficiency, structural resilience, and carbon footprint reduction, with applications from subarctic architecture to extraterrestrial habitats. A bibliometric analysis of 500 papers highlights key trends in automation, AI-driven generative design, and multi-material printing. The case study of Tomamu. The Tower in Japan, analyzed through parametric modeling, finite element analysis (FEA), and energy simulations, demonstrates a 1.89% reduction in embodied carbon emissions (CEI3DPC vs. CEI3DCC) and improved thermal efficiency. Additionally, computational simulations explore the feasibility of AI-enhanced robotic assembly and in-situ resource utilization (ISRU) for autonomous off-world construction. This research advances low-carbon, high-performance prefabricated architecture, providing insights into scalable robotic fabrication for both terrestrial and interstellar environments, emphasizing sustainability, standardization, and automation in future construction ecosystems.