Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Artificial intelligence-augmented additive manufacturing (AI2AM) represents atransformative frontier in digital fabrication, where artificial intelligence (AI) isembedded not as a peripheral tool, but as a central framework driving intelligent,adaptive, and autonomous additive manufacturing (AM) systems. The objective ofthis Roadmap is to present a comprehensive vision of the state-of-the-art devel-opments in AI2AM while charting the future trajectory of this rapidly emerging field.As AM applications continue to expand across diverse sectors, conventional designand control strategies face growing limitations in scalability, quality assurance, andmaterial complexity. AI uses tools like computer vision, generative design, and largelanguage models to help solve problems in scalability, quality assurance, andmaterial complexity, allowing for real-time defect detection, digital twin integration,and closed-loop process control. This roadmap brings together leading contribu-tions from twenty internationally recognized research groups by uniting perspec-tives from materials science, computer science, robotics, and manufacturing. Thiswork aims to create a cohesive framework for advancing AI2AM as a multidisci-plinary science. The ultimate intent of this work is to establish a foundation forcoordinated research and innovation in AI-powered AM and to serve as a strategicentry point for future breakthroughs in autonomous and sustainable production.