Evidence map›Paper›PMID 29412080›Full record

ArticleSoft robotics2018

Novel Design of a Soft Lightweight Pneumatic Continuum Robot Arm with Decoupled Variable Stiffness and Positioning.

Maria Elena Giannaccini, Chaoqun Xiang, Adham Atyabi, Theo Theodoridis, Samia Nefti-Meziani, Steve Davis

Abstract read
In one paragraph

Article in Soft robotics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Maria Elena Giannaccini1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .
Chaoqun Xiang1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .
Adham Atyabi1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .
Theo Theodoridis1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .
Samia Nefti-Meziani1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .
Steve Davis1 Centre for Autonomous Systems and Advanced Robotics, School of Computing Science and Engineering, University of Salford , Salford, United Kingdom .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robot arms possess unique capabilities when it comes to adaptability, flexibility, and dexterity. In addition, soft systems that are pneumatically actuated can claim high power-to-weight ratio. One of the main drawbacks of pneumatically actuated soft arms is that their stiffness cannot be varied independently from their end-effector position in space. The novel robot arm physical design presented in this article successfully decouples its end-effector positioning from its stiffness. An experimental characterization of this ability is coupled with a mathematical analysis. The arm combines the light weight, high payload to weight ratio and robustness of pneumatic actuation with the adaptability and versatility of variable stiffness. Light weight is a vital component of the inherent safety approach to physical human-robot interaction. To characterize the arm, a neural network analysis of the curvature of the arm for different input pressures is performed. The curvature-pressure relationship is also characterized experimentally.

Indexed as

physical human-robot interactionpneumatic actuatorssoft robot armvariable stiffness

Identifiers

PMID29412080
PMCPMC5804101

What OpenQuestion holds

Textmetadata
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.