Research paper proposing an agentic AI framework with graph-assisted retrieval for defect detection and reasoning in laser powder bed fusion manufacturing. Applies modern agent architectures to industrial quality control.
Research
Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion
Agent architectures with graph-assisted retrieval enable automated defect reasoning in laser powder bed fusion manufacturing, bridging agentic AI and industrial quality control.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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