Evidence map›Paper›PMID 36192162›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Reconfigurable Soft Robots by Building Blocks.

Mohamed G B Atia, Abdelkhalick Mohammad, Andres Gameros, Dragos Axinte, Iain Wright

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Reconfigurable Soft Robots by Building Blocks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

5 authors.

Mohamed G B AtiaRolls-Royce UTC in Manufacturing and On-Wing Technology, The University of Nottingham, Nottingham, NG8 1BB, UK.ORCID 0000-0003-4258-326X
Abdelkhalick MohammadRolls-Royce UTC in Manufacturing and On-Wing Technology, The University of Nottingham, Nottingham, NG8 1BB, UK.ORCID 0000-0001-7623-125X
Andres GamerosRolls-Royce UTC in Manufacturing and On-Wing Technology, The University of Nottingham, Nottingham, NG8 1BB, UK.ORCID 0000-0002-1508-8434
Dragos AxinteRolls-Royce UTC in Manufacturing and On-Wing Technology, The University of Nottingham, Nottingham, NG8 1BB, UK.ORCID 0000-0002-3595-0933
Iain WrightRolls-Royce plc, Derby, DE24 8BJ, UK.

Funding

Faculty of Engineering, University of Nottingham 5018216Rolls-Royce 1500-00401149
6 · The paper itself

Abstract

Soft robots are of increasing interest as they can cope with challenges that are poorly addressed by conventional rigid-body robots (e.g., limited flexibility). However, due to their flexible nature, the soft robots can be particularly prone to exploit modular designs for enhancing their reconfigurability, that is, a concept which, to date, has not been explored. Therefore, this paper presents a design of soft building blocks that can be disassembled and reconfigured to build different modular configurations of soft robots such as robotic fingers and continuum robots. First, a numerical model is developed for the constitutive building block allowing to understand their behavior versus design parameters, then a shape optimization algorithm is developed to permit the construction of different types of soft robots based on these soft building blocks. To validate the approach, 2D and 3D case studies of bio-inspired designs are demonstrated: first, soft fingers are introduced as a case study for grasping complex and delicate objects. Second, an elephant trunk is used for grasping a flower. Third, a walking legged robot. These case studies prove that the proposed modular building approach makes it easier to build and reconfigure different types of soft robots with multiple complex shapes.

Indexed as

RoboticsAlgorithmsbioinspiredbuilding blocksmodularityreconfigurabilitysoft robots

Identifiers

PMID36192162
PMCPMC9685464

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.