Evidence map›Paper›PMID 32762620›Full record

ArticleSoft robotics2021

Limpet II: A Modular, Untethered Soft Robot.

Mohammed E Sayed, Jamie O Roberts, Ross M McKenzie, Simona Aracri, Anthony Buchoux, Adam A Stokes

Abstract read
In one paragraph

Article in Soft robotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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.

Mohammed E SayedInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Jamie O RobertsInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Ross M McKenzieInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Simona AracriInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Anthony BuchouxInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Adam A StokesInstitute for Integrated Micro and Nano Systems, Scottish Microelectronics Centre, School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to navigate complex unstructured environments and carry out inspection tasks requires robots to be capable of climbing inclined surfaces and to be equipped with a sensor payload. These features are desirable for robots that are used to inspect and monitor offshore energy platforms. Existing climbing robots mostly use rigid actuators, and robots that use soft actuators are not fully untethered yet. Another major problem with current climbing robots is that they are not built in a modular fashion, which makes it harder to adapt the system to new tasks, to repair the system, and to replace and reconfigure modules. This work presents a 450 g and a 250 × 250 × 140 mm modular, untethered hybrid hard/soft robot-Limpet II. The Limpet II uses a hybrid electromagnetic module as its core module to allow adhesion and locomotion capabilities. The adhesion capability is based on negative pressure adhesion utilizing suction cups. The locomotion capability is based on slip-stick locomotion. The Limpet II also has a sensor payload with nine different sensing modalities, which can be used to inspect and monitor offshore structures and the conditions surrounding them. Since the Limpet II is designed as a modular system, the modules can be reconfigured to achieve multiple tasks. To demonstrate its potential for inspection of offshore platforms, we show that the Limpet II is capable of responding to different sensory inputs, repositioning itself within its environment, adhering to structures made of different materials, and climbing inclined surfaces.

Indexed as

RoboticsEquipment DesignLocomotionadhesionclimbingelectromagnetic actuatormodularrobotsoft

Identifiers

PMID32762620
PMCPMC8236390

What OpenQuestion holds

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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.