ArticleNature communications2024
Integrated mechanical computing for autonomous soft machines.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Viscoelastic nanomechanical devices for neuromorphic information processing.Science advances · 2026Article
- Reprogrammable metamaterial robot with embodied versatile computation and mechanical intelligence.Nature communications · 2026Article
- Light-programmable mechanical computing via polyaniline composite film.Nature communications · 2026Article
- Embodying physical computing into soft robots.Nature communications · 2026Review
- Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Multi-Instably Mechanical Systems for Computing-Storing Functions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- General-purpose mechanical computing enabled by origami circuit reconfiguration with robotic addressing and activation.Nature communications · 2025Article
- Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics.Nature communications · 2025Article
- A kinematically Bifurcated Metamaterial for Integrated Logic Operation and Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Phase transitions perception in nonreciprocal mechanical metamaterials through electromagnetic resonance.Science advances · 2025Article
- Transition graphs of interacting hysterons: structure, design, organization and statistics.Royal Society open science · 2025Article
- Bistable Soft Shells for Programmable Mechanical Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Mechanical Neural Networks with Explicit and Robust Neurons.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Mechanical computing offers a new modality to formulate computational autonomy in intelligent matter or machines without any external powering or active elements. Transition (or solitary) waves, induced by nonreciprocity in mechanical metamaterials comprising a chain of bistable elements, have proven to be a key ingredient for dissipation-free transmission and computation of mechanical information. However, advanced processing of mechanical information in existing designs is hindered by its dissipation when interacting with networked logic gates. Here, we present a metamaterial design strategy that allows non-dispersive mechanical solitary waves to compute multi-level cascaded logic functions, termed 'integrated mechanical computing', by propagating through a network of structurally heterogeneous computing units. From a perspective of characteristic potential energy, we establish an analytical framework that helps in understanding the solitary wave-based mechanical computation, and governs the mechanical design of key determinants for realizing cascaded logic computation, such as soliton profile and logic elements. The developed integrated mechanical computing systems are shown to receive, transmit and compute mechanical information to actuate intelligent soft machine prototypes in a seamless and integrated manner. These findings would pave the way for future intelligent robots and machines that perform computational operations between various non-electrical environmental inputs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.