| Issue |
E3S Web Conf.
Volume 723, 2026
2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 7 | |
| Section | Intelligent Infrastructure, Iot, Robotics & Sustainable Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202672304008 | |
| Published online | 08 July 2026 | |
A Structured Review of Robotic Arm Systems for Intelligent 3D Printing: Architectures, Control, and Defect Detection
1 Smart Structural Health Monitoring and Control Laboratory, DGUT-CNAM, Dongguan University of Technology, D1, Daxue Rd., Songshan Lake, Dongguan, Guangdong Province, P.R. China
2 DGUT-CNAM Institute, Dongguan University of Technology, D1, Daxue Rd., Songshan Lake, Dongguan, Guangdong Province, P.R. China
3 UR-GAMMA3, University of Technology of Troyes, Troyes, France
4 ENS -Paris-Saclay University, Centre Borelli, UMR CNRS 9010, 91190 Gif-sur-Yvette, france
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
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.
Key words: Robotic arm / Additive manufacturing / FDM / Vision-based monitoring / Adaptive control / Defect detection
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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