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Programmable Digital Weaves

Yue Li, Bernhard Thomaszewski, Stelian Coros

Year
2022
Citations
13

Abstract

Elastic lattice-like materials whose structures can be tuned to achieve desired mechanical properties hold great promise for many applications in robotics. However, existing methods rely on all-fused connections at lattice nodes, which limits the range of mechanical properties that can be achieved. In this work, we introduce Programmable Digital Weaves—3D-printable, textile-like materials with sliding connections that mimic the yarn structure of conventional woven fabrics. Our method allows for relative motion between crossing strands, thus unlocking a large space of programmable nonlinear and anisotropic material behavior. As we demonstrate through a set of virtual and physical experiments, this new concept extends to a wide variety of patterns, ranging from regular arrangements of orthogonal strands similar to conventional woven fabrics to curved yarns, interlacing closed loops, and dedicated strands for actuation.

Keywords

InterlacingYarnSoft roboticsLattice (music)Nonlinear systemComputer scienceTextileRangingAnisotropyRobotics

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