Evidence map›Paper›PMID 36296136›Full record

ArticleMicromachines2022

Hybrid Compliant Musculoskeletal System for Fast Actuation in Robots.

Pieter Wiersinga, Aidan Sleavin, Bart Boom, Thijs Masmeijer, Spencer Flint, Ed Habtour

Abstract read
In one paragraph

Article in Micromachines, 2022. 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. 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

6 authors.

Pieter WiersingaFaculty of Science and Engineering, University of Groningen, Postbus 72, 9700 AB Groningen, The Netherlands.
Aidan SleavinDepartment of Aeronautics & Astronautics, The University of Washington, Seattle, WA 98195, USA.
Bart BoomDepartment of Aeronautics & Astronautics, The University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-5409-4506
Thijs MasmeijerDepartment of Aeronautics & Astronautics, The University of Washington, Seattle, WA 98195, USA.
Spencer FlintDepartment of Aeronautics & Astronautics, The University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-0568-5996
Ed HabtourDepartment of Aeronautics & Astronautics, The University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-9083-9285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A nature-inspired musculoskeletal system is designed and developed to examine the principle of nonlinear elastic energy storage-release for robotic applications. The musculoskeletal system architecture consists of elastically rigid segments and hyperelastic soft materials to emulate rigid-soft interactions in limbless vertebrates. The objectives are to (i) improve the energy efficiency of actuation beyond that of current pure soft actuators while (ii) producing a high range of motion similar to that of soft robots but with structural stability. This paper proposes a musculoskeletal design that takes advantage of structural segmentation to increase the system's degrees of freedom, which enhances the range of motion. Our findings show that rigid-soft interactions provide a remarkable increase in energy storage and release and, thus, an increase in the undulation speed. The energy efficiency achieved is approximately 68% for bending the musculoskeletal system from the straight configuration, compared to 2.5-30% efficiency in purely soft actuators. The hybrid compliance of the musculoskeletal system under investigation shows promise for alleviating the need for actuators at each joint in a robot.

Indexed as

antagonistic actuationbiomimeticdynamicsenergy storage–releasenature-inspirednonlinearrobots

Identifiers

PMID36296136
PMCPMC9611504

What OpenQuestion holds

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LicenceCC BY
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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.