Evidence map›Paper›PMID 27625917›Full record

ArticleSoft robotics2016

Soft Robotic Grippers for Biological Sampling on Deep Reefs.

Kevin C Galloway, Kaitlyn P Becker, Brennan Phillips, Jordan Kirby, Stephen Licht, Dan Tchernov, Robert J Wood, David F Gruber

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Soft robotics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
78.4field-weighted citation impact, top 1% of its field
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

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 805 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Developing Soft Interconnected Microchannel Network for 2D Skin-Like Actuator.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

44 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

Kevin C GallowayWyss Institute for Biologically Inspired Engineering, Harvard University , Cambridge, Massachusetts.
Kaitlyn P BeckerHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University , Cambridge, Massachusetts.
Brennan PhillipsDepartment of Ocean Engineering, University of Rhode Island , Narragansett, Rhode Island.
Jordan KirbyDepartment of Ocean Engineering, University of Rhode Island , Narragansett, Rhode Island.
Stephen LichtDepartment of Ocean Engineering, University of Rhode Island , Narragansett, Rhode Island.
Dan TchernovLeon Charney School of Marine Sciences, Haifa University , Haifa, Israel .
Robert J WoodWyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts.; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
David F GruberDepartment of Natural Sciences, Baruch College, City University of New York, New York, New York.; American Museum of Natural History, Sackler Institute of Comparative Genomics, New York, New York.
Harvard University · USUniversity of Rhode Island · USBaruch College · USUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents the development of an underwater gripper that utilizes soft robotics technology to delicately manipulate and sample fragile species on the deep reef. Existing solutions for deep sea robotic manipulation have historically been driven by the oil industry, resulting in destructive interactions with undersea life. Soft material robotics relies on compliant materials that are inherently impedance matched to natural environments and to soft or fragile organisms. We demonstrate design principles for soft robot end effectors, bench-top characterization of their grasping performance, and conclude by describing

Identifiers

PMID27625917
PMCPMC4997628
OpenAlexW2296718990

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.