Evidence map›Paper›PMID 38239276›Full record

ArticleFrontiers in robotics and AI2023

Versatile vacuum-powered artificial muscles through replaceable external reinforcements.

Mijaíl Jaén Mendoza, Sergio Cancán, Steve Surichaqui, Esteban Centeno, Ricardo Vilchez, Katia Bertoldi, Emir A Vela

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mijaíl Jaén MendozaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.
Sergio CancánDepartment of Mechatronics Engineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.
Steve SurichaquiDepartment of Bioengineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.
Esteban CentenoDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.
Ricardo VilchezDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.
Katia BertoldiJ. A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States.
Emir A VelaDepartment of Mechanical Engineering, Universidad de Ingenieria y Tecnologia - UTEC, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft pneumatic artificial muscles are a well actuation scheme in soft robotics due to its key features for robotic machines being safe, lightweight, and conformable. In this work, we present a versatile vacuum-powered artificial muscle (VPAM) with manually tunable output motion. We developed an artificial muscle that consists of a stack of air chambers that can use replaceable external reinforcements. Different modes of operation are achieved by assembling different reinforcements that constrain the output motion of the actuator during actuation. We designed replaceable external reinforcements to produce single motions such as twisting, bending, shearing and rotary. We then conducted a deformation and lifting force characterization for these motions. We demonstrated sophisticated motions and reusability of the artificial muscle in two soft machines with different modes of locomotion. Our results show that our VPAM is reusable and versatile producing a variety and sophisticated output motions if needed. This key feature specially benefits unpredicted workspaces that require a soft actuator that can be adjusted for other tasks. Our scheme has the potential to offer new strategies for locomotion in machines for underwater or terrestrial operation, and wearable devices with different modes of operation.

Indexed as

artificial musclereplaceable reinforcementsreusablesoft actuatorsoft roboticsversatile

Identifiers

PMID38239276
PMCPMC10794473

What OpenQuestion holds

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Registered trials

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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.