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Crocheted Capacitive Touch Sensors for Rapid Prototyping of Soft Interfaces. [PDF]
O'Connell A +5 more
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A compiler for 3D machine knitting [PDF]
Industrial knitting machines can produce finely detailed, seamless, 3D surfaces quickly and without human intervention. However, the tools used to program them require detailed manipulation and understanding of low-level knitting operations. We present a compiler that can automatically turn assemblies of high-level shape primitives (tubes, sheets) into
Lea Albaugh +2 more
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Visual knitting machine programming
ACM Transactions on Graphics, 2019Industrial knitting machines are commonly used to manufacture complicated shapes from yarns; however, designing patterns for these machines requires extensive training. We present the first general visual programming interface for creating 3D objects with complex surface finishes on industrial knitting machines.
Cem Yuksel, James Mccann, Kui Wu
exaly +3 more sources
Semantics and Scheduling for Machine Knitting Compilers
ACM Transactions on Graphics, 2023Machine knitting is a well-established fabrication technique for complex soft objects, and both companies and researchers have developed tools for generating machine knitting patterns. However, existing representations for machine knitted objects are incomplete (do not cover the complete domain of machine knittable objects) or overly ...
Yuka Ikarashi +2 more
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Automatic Machine Knitting of 3D Meshes
ACM Transactions on Graphics, 2018We present the first computational approach that can transform three-dimensional (3D) meshes, created by traditional modeling programs, directly into instructions for a computer-controlled knitting machine. Knitting machines are able to robustly and repeatably form knitted 3D surfaces from yarn but have many constraints on what they can fabricate ...
Stelian Coros, Lea Albaugh, James Mccann
exaly +4 more sources
A Parametric 3D Knitting Workflow for Punchcard Knitting Machines
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023Shahar Asor, Yoav Sterman
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