Origami and Kirigami sheets

2D sheets with crease patterns that fold into specific topologies; learning d.o.f include crease bending stiffness; can be trained for classification tasks

Neighborhood — ranked by edge-count

Frameworks (1)

framework

Physical learning
associated_with
Framework for solving inverse problems in which physical systems autonomously adapt their parameters in response to stimuli through local learning rules, without requiring computational design or explicit cost functions

Findings (1)

finding

Folding pathways of creased sheets can be trained for specific topologies including classification of mechanical force patterns analogous to neural networks
supports
Experimentally validated finding that origami/kirigami systems can solve classification tasks through physical learning of crease stiffnesses

Related by similarity (1)

cosine ≥ 0.65 · no typed edge

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