ArticleScientific reports2015
Information processing via physical soft body.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
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Who cites it
50 citing papers in PubMed.
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- Re-Purposing a Modular Origami Manipulator Into an Adaptive Physical Computer for Machine Learning and Robotic Perception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Harvested reservoir computing from road traffic dynamics.Scientific reports · 2025Article
- Two Orders of Magnitude Reduction in Computational Load Achieved by Ultrawideband Responses of an Ion-Gating Reservoir.ACS nano · 2025Article
- Optomechanical reservoir computing.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- TheBiomimetics (Basel, Switzerland) · 2025Article
- Echo state property and memory capacity of artificial spin ice.Scientific reports · 2025Article
- Harnessing spatiotemporal transformation in magnetic domains for nonvolatile physical reservoir computing.Science advances · 2025Article
- Iono-Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion-Gating.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- An Entropy Dynamics Approach to Inferring Fractal-Order Complexity in the Electromagnetics of Solids.Entropy (Basel, Switzerland) · 2024Article
- Embedding Bifurcations into Pneumatic Artificial Muscle.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Reservoir-computing based associative memory and itinerancy for complex dynamical attractors.Nature communications · 2024Article
- Highly-integrable analogue reservoir circuits based on a simple cycle architecture.Scientific reports · 2024Article
- Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating.Science advances · 2024Article
- Photonic Physical Reservoir Computing with Tunable Relaxation Time Constant.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Redox-based ion-gating reservoir consisting of (104) oriented LiCoOScientific reports · 2023Article
- Computational capability of ecological dynamics.Royal Society open science · 2023Article
- Tapered whisker reservoir computing for real-time terrain identification-based navigation.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soft machines have recently gained prominence due to their inherent softness and the resulting safety and resilience in applications. However, these machines also have disadvantages, as they respond with complex body dynamics when stimulated. These dynamics exhibit a variety of properties, including nonlinearity, memory, and potentially infinitely many degrees of freedom, which are often difficult to control. Here, we demonstrate that these seemingly undesirable properties can in fact be assets that can be exploited for real-time computation. Using body dynamics generated from a soft silicone arm, we show that they can be employed to emulate desired nonlinear dynamical systems. First, by using benchmark tasks, we demonstrate that the nonlinearity and memory within the body dynamics can increase the computational performance. Second, we characterize our system's computational capability by comparing its task performance with a standard machine learning technique and identify its range of validity and limitation. Our results suggest that soft bodies are not only impressive in their deformability and flexibility but can also be potentially used as computational resources on top and for free.
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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.