ai-robotics

Mechanical Neural network can Adapt its Physical properties

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper.

The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits of its design rather than what it is made out of. Take hook-and-loop fabric closures like Velcro, for example. It doesn’t matter whether it is made from cotton, plastic or any other substance. As long as one side is a fabric with stiff hooks and the other side has fluffy loops, the material will have the sticky properties of Velcro.

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https://robohub.org/a-new-type-of-material-called-a-mechanical-neural-network-can-learn-and-change-its-physical-properties-to-create-adaptable-strong-structures/

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