2017
DOI: 10.52842/conf.acadia.2017.562
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A Generalized Approach to Non-Layered Fused Filament Fabrication

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Cited by 15 publications
(3 citation statements)
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“…There are already several projects within the field of architecture and robotics that were built on Unity, e.g., for creating a graphical user interface for complex robotic 3D printing (Soler, 2017) and acting as a machine learning environment (Hosmer, 2019).…”
Section: Methods: Towards Interacting With Fabricationmentioning
confidence: 99%
“…There are already several projects within the field of architecture and robotics that were built on Unity, e.g., for creating a graphical user interface for complex robotic 3D printing (Soler, 2017) and acting as a machine learning environment (Hosmer, 2019).…”
Section: Methods: Towards Interacting With Fabricationmentioning
confidence: 99%
“…This research builds on current studies in spatial 3D printing methods and presents novel algorithmic methods and geometric generalization to robotically fabricate triangulated tessellations that conform complex surfaces. The particularization of models for creating the voxelized approximation of a shape is one method [6], [7], [8] that has allowed designers to defy the layerwise stacking principle of standard AM and allowed the creation of complex spatial arrangements (Figure 2). Digital tools in design for fabrication integrate geometric logic of constructability and design goals [9].…”
Section: Membrane Design and Spatial 3d Printingmentioning
confidence: 99%
“…Zhao et al [ZGH∗16] generate contour parallel fill trajectories that form singly connected spirals within a contour, leading to a continuous fill with smooth trajectories. Soler et al [SRJG17] create 3D trajectories as Hamiltonian cycles in grids for wireframe 3D printing. In the context of two‐photon lithography, Dahaeck et al [DSL18] divide a surface to be manufactured in a process akin to a Centroidal Voronoi Tessellation and compute a Hamiltonian path within to obtain a continuous trajectory.…”
Section: Related Workmentioning
confidence: 99%