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SculptAR: Direct Manipulations of Machine Toolpaths in Augmented Reality for 3D Clay Printing

Published: 29 October 2023 Publication History

Abstract

Specifying designs for additive manufacturing using machine toolpaths unlocks design attributes such as surface textures and shapes determined by material and machine constrains compared to higher level representations like 3D geometries. Current methodologies for authoring these designs necessitate a high level of programming or geometric understanding, posing a significant barrier to entry and limited control. Additionally, the confinement of these workflows within computer screens obscures the comprehension of material and dimensional constraints. To bridge this gap, we demonstrate the direct manipulation of machine toolpaths in Augmented Reality for clay 3D printing. Our application relies on hand interactions to edit path control points. We also provide a set of options that allow the user to control how their changes to one control points are broadcast to others to determine surface shapes and textures. By leveraging AR interactions in a physical context, our proposal aims to leverage existing physical workflows and enable practitioners to apply their understanding of material properties and visual understanding of physical 3D objects.

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References

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cover image ACM Conferences
UIST '23 Adjunct: Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
October 2023
424 pages
ISBN:9798400700965
DOI:10.1145/3586182
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 29 October 2023

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Author Tags

  1. Augmented Reality
  2. Clay 3D printing
  3. Computer-Aided Machining
  4. Digital Fabrication
  5. Direct Manipulation

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UIST '23

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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