Evidence map›Paper›PMID 34415009›Full record

ArticleIntegrative and comparative biology2021

Body Caudal Undulation Measured by Soft Sensors and Emulated by Soft Artificial Muscles.

Fabian Schwab, Elias T Lunsford, Taehwa Hong, Fabian Wiesemüller, Mirko Kovac, Yong-Lae Park, Otar Akanyeti, James C Liao, Ardian Jusufi

Open access · hybridAbstract read
In one paragraph

Article in Integrative and comparative biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
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

9 authors at 5 institutions in 5 countries.

Fabian SchwabLocomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany.ORCID 0000-0001-9082-8458
Elias T LunsfordDepartment of Biology, Whitney Laboratory for Marine Bioscience, University of Florida, Saint Augustine, FL 32080, USA.
Taehwa HongDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.
Fabian WiesemüllerMaterials and Technology Center of Robotics, EMPA, Überlandstrasse 129, Zürich 8600, Switzerland.
Mirko KovacMaterials and Technology Center of Robotics, EMPA, Überlandstrasse 129, Zürich 8600, Switzerland.
Yong-Lae ParkDepartment of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.
Otar AkanyetiDepartment of Biology, Whitney Laboratory for Marine Bioscience, University of Florida, Saint Augustine, FL 32080, USA.
James C LiaoDepartment of Biology, Whitney Laboratory for Marine Bioscience, University of Florida, Saint Augustine, FL 32080, USA.
Ardian JusufiLocomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany.
Imperial College London · GBMax Planck Institute for Intelligent Systems · DESeoul National University · KRUniversity of Florida · USAberystwyth University · GB

Funding

Organization and function of hair cell afferent neuronsR01DC010809 · NIDCD · UNIVERSITY OF FLORIDA · PI LIAO, JAMES CHIENAN · 2010 to 2017
$1.8M
NIDCD NIH HHS R01 DC010809
6 · The paper itself

Abstract

We propose the use of bio-inspired robotics equipped with soft sensor technologies to gain a better understanding of the mechanics and control of animal movement. Soft robotic systems can be used to generate new hypotheses and uncover fundamental principles underlying animal locomotion and sensory capabilities, which could subsequently be validated using living organisms. Physical models increasingly include lateral body movements, notably back and tail bending, which are necessary for horizontal plane undulation in model systems ranging from fish to amphibians and reptiles. We present a comparative study of the use of physical modeling in conjunction with soft robotics and integrated soft and hyperelastic sensors to monitor local pressures, enabling local feedback control, and discuss issues related to understanding the mechanics and control of undulatory locomotion. A parallel approach combining live animal data with biorobotic physical modeling promises to be beneficial for gaining a better understanding of systems in motion.

Indexed as

RoboticsAnimalsFishesLocomotionModels, BiologicalMuscles

Identifiers

PMID34415009
PMCPMC8699111
OpenAlexW3193481848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.