About this Abstract |
Meeting |
2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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Symposium
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2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
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Presentation Title |
Vision-Based Calibration of Robotic 3D Printers for Cooperative 3D Printing
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Author(s) |
Swaleh Owais, Charith Oshadi Nanayakkara Ratnayake, Ali Uger, Zhenghui Sha, Wenchao Zhou |
On-Site Speaker (Planned) |
Swaleh Owais |
Abstract Scope |
Cooperative 3D Printing (C3DP) is an additive manufacturing paradigm where a swarm of robotic 3D printers work cooperatively in a shared workspace to fabricate parts. Accurate execution of C3DP requires not only the precise calibration of each individual printer, but also spatial alignment across multiple printers; a process that is often manual, slow, and error-prone. In this paper, we present a vision-based method for calibrating the XY axes of cooperative 3D printers using ArUco fiducial markers placed at known reference positions and a basic monocular camera. By comparing observed marker coordinates with their known locations, the system successfully calibrates kinematic parameters of individual printers and across printers. This ensures consistent positioning across all printers in the system, a mandatory prerequisite of C3DP. Experimental results validate the effectiveness of the method in achieving accurate, repeatable multi-printer calibration, supporting the reliable execution of C3DP jobs. |
Proceedings Inclusion? |
Planned: Post-meeting proceedings |