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)
|
| Presentation Title |
A Computational Pipeline for Heterogeneous Swarm Manufacturing |
| Author(s) |
Rencheng Wu, Charith Nanayakkara Ratnayake, Methsiri Faris, Salman Mahmud Prottoy, Jun Zhou, Swaleh Owais, Zachary Hyden, Harsha Gangammanavar, Yisha Xiang, Wenchao Zhou |
| On-Site Speaker (Planned) |
Rencheng Wu |
| Abstract Scope |
Modern factories remain constrained by rigid workflows and product-specific configurations. This paper presents a computational pipeline for heterogeneous swarm manufacturing (HSM) that automates the end-to-end transformation from enriched CAD models to executable multi-robot instructions. The pipeline unifies four interdependent stages—task division, allocation, scheduling, and path planning—into a modular architecture, supported by mathematically consistent data structures ensuring traceable, reconfigurable execution. Each stage models real-world constraints such as task dependencies, spatial constraints, and material-process compatibility. A case study is presented to validate the pipeline, in which 3D printing, laser, transport, and assembly robots cooperatively manufacture an architectural model with embedded LEDs using a custom-developed simulator. Results demonstrate that the pipeline supports the transformation from CAD models to execution instructions across heterogeneous resources without manual intervention. This work advances software-defined manufacturing by enabling scalable, interdependency-aware automation across physical and simulated environments. |
| Proceedings Inclusion? |
Planned: Post-meeting proceedings |