Evidence map›Paper›PMID 39157793›Full record

ArticleFrontiers in robotics and AI2024

Robust control of electrohydraulic soft robots.

Angella Volchko, Shane K Mitchell, Tyler G Scripps, Zoe Turin, J Sean Humbert

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Angella VolchkoPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States.
Shane K MitchellArtimus Robotics Inc., Boulder, CO, United States.
Tyler G ScrippsPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States.
Zoe TurinPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States.
J Sean HumbertPaul M. Rady Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article introduces a model-based robust control framework for electrohydraulic soft robots. The methods presented herein exploit linear system control theory as it applies to a nonlinear soft robotic system. We employ dynamic mode decomposition with control (DMDc) to create appropriate linear models from real-world measurements. We build on the theory by developing linear models in various operational regions of the system to result in a collection of linear plants used in uncertainty analysis. To complement the uncertainty analyses, we utilize

Indexed as

HASEL actuatorsH infinity synthesislinear system theoryrobust controlsoft roboticsuncertainty analysis

Identifiers

PMID39157793
PMCPMC11327443

What OpenQuestion holds

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Registered trials

None linked

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.