Defect Mitigation for Robot Arm-based Additive Manufacturing Utilizing Intelligent Control and IOT
Matsive Ali, Blake Gassen, Sen Liu

TL;DR
This paper introduces an integrated robotic additive manufacturing system with real-time defect detection and correction, combining thermal control, vision-based defect localization, and autonomous re-extrusion to improve print quality.
Contribution
It presents a novel robotic AM system that integrates IoT-enabled thermal regulation, vision-based defect detection, and autonomous correction for enhanced manufacturing quality.
Findings
Successful defect mitigation demonstrated in experiments
Real-time thermal and defect control improved print quality
System adaptable for aerospace, biomedical, and industrial uses
Abstract
This paper presents an integrated robotic fused deposition modeling additive manufacturing system featuring closed-loop thermal control and intelligent in-situ defect correction using a 6-degree of freedom robotic arm and an Oak-D camera. The robot arm end effector was modified to mount an E3D hotend thermally regulated by an IoT microcontroller, enabling precise temperature control through real-time feedback. Filament extrusion system was synchronized with robotic motion, coordinated via ROS2, ensuring consistent deposition along complex trajectories. A vision system based on OpenCV detects layer-wise defects position, commanding autonomous re-extrusion at identified sites. Experimental validation demonstrated successful defect mitigation in printing operations. The integrated system effectively addresses challenges real-time quality assurance. Inverse kinematics were used for motion…
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