A Structured Review of Robotic Arm Systems for Intelligent 3D Printing: Architectures, Control, and Defect Detection

This article presents a structured review of robotic arm systems developed for intelligent 3D printing applications. The reviewed articles are analyzed in terms of hardware and software architecture, adaptive control strategies, defect detection capabilities, and real-time performance. The aim is to highlight recent advances in the field of robotic additive manufacturing integrating vision-based closed-loop control, while identifying current limitations and research challenges toward fully autonomous and self-correcting printing robots.