Researchers use agentic AI to monitor and correct 3D prints — system catches errors in real time, uses modular design to work on different makes and models

Researchers at Carnegie Mellon University have developed an agentic AI system that monitors and corrects 3D prints in real time, addressing common errors in the process. The system utilizes multiple large language models to optimize print quality and efficiency, with a modular design that can be adapted to various 3D printer makes and models. By employing specialized agents to analyze print quality, adjust printer settings, and create actionable plans, the system aims to reduce failure rates and enhance overall printing performance. This innovative approach integrates language models into the 3D printing process, paving the way for more intelligent and autonomous manufacturing systems in the future.