Evidence map›Paper›PMID 29070591›Full record

ArticleJournal of the Royal Society, Interface2017

Anchoring like octopus: biologically inspired soft artificial sucker.

Sina Sareh, Kaspar Althoefer, Min Li, Yohan Noh, Francesca Tramacere, Pooya Sareh, Barbara Mazzolai, Mirko Kovac

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Classification and Evaluation of Octopus-Inspired Suction Cups for Soft Continuum Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Frontiers in robotics and AI · 2021
    Article
  11. Article
  12. Review
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

8 authors.

Sina SarehDesign Robotics, School of Design, Royal College of Art, London, UK sina.sareh@rca.ac.uk.ORCID 0000-0002-9787-1798
Kaspar AlthoeferAdvanced Robotics @ Queen Mary (ARQ), Faculty of Science & Engineering, Queen Mary University of London, London, UK.
Min LiInstitute of Intelligent Measurement & Instrument, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an People's Republic of China.
Yohan NohCentre for Robotics Research, Department of Informatics, King's College London, London, UK.
Francesca TramacereCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Pooya SarehAerial Robotics Laboratory, Department of Aeronautics, Imperial College London, London, UK.ORCID 0000-0003-1836-2598
Barbara MazzolaiCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Mirko KovacAerial Robotics Laboratory, Department of Aeronautics, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a robotic anchoring module, a sensorized mechanism for attachment to the environment that can be integrated into robots to enable or enhance various functions such as robot mobility, remaining on location or its ability to manipulate objects. The body of the anchoring module consists of two portions with a mechanical stiffness transition from hard to soft. The hard portion is capable of containing vacuum pressure used for actuation while the soft portion is highly conformable to create a seal to contact surfaces. The module is integrated with a single sensory unit which exploits a fibre-optic sensing principle to seamlessly measure proximity and tactile information for use in robot motion planning as well as measuring the state of firmness of its anchor. In an experiment, a variable set of physical loads representing the weights of potential robot bodies were attached to the module and its ability to maintain the anchor was quantified under constant and variable vacuum pressure signals. The experiment shows the effectiveness of the module in quantifying the state of firmness of the anchor and discriminating between different amounts of physical loads attached to it. The proposed anchoring module can enable many industrial and medical applications where attachment to environment is of crucial importance for robot control.

Indexed as

Equipment DesignMechanicsRoboticsAnimalsBiomimeticsEquipment Failure AnalysisExtremitiesOctopodiformesStress, Mechanicalrobotic anchoring moduleseamless measurementsingle sensory unitsoft roboticsstiffness-gradient designtactile sensing

Identifiers

PMID29070591
PMCPMC5665824

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.