Evidence map›Paper›PMID 35056275›Full record

ReviewMicromachines2022

Underwater Soft Robotics: A Review of Bioinspiration in Design, Actuation, Modeling, and Control.

Samuel M Youssef, MennaAllah Soliman, Mahmood A Saleh, Mostafa A Mousa, Mahmoud Elsamanty, Ahmed G Radwan

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. A Magnetic-Driven Self-Rotation-Stabilized Miniature Swimming Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Adhesion Behavior in Fish: From Structures to Applications.Biomimetics (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Gecko adhesion based sea star crawler robot.Frontiers in robotics and AI · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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.

Samuel M YoussefSmart Engineering Systems Research Center (SESC), Nile University, Sheikh Zayed City 12588, Egypt.ORCID 0000-0002-7193-0235
MennaAllah SolimanSchool of Engineering and Applied Sciences, Nile University, Sheikh Zayed City 12588, Egypt.ORCID 0000-0003-2486-5933
Mahmood A SalehSchool of Engineering and Applied Sciences, Nile University, Sheikh Zayed City 12588, Egypt.
Mostafa A MousaNile University's Innovation Hub, Nile University, Sheikh Zayed City 12588, Egypt.
Mahmoud ElsamantySmart Engineering Systems Research Center (SESC), Nile University, Sheikh Zayed City 12588, Egypt.
Ahmed G RadwanSchool of Engineering and Applied Sciences, Nile University, Sheikh Zayed City 12588, Egypt.

Funding

Academy of Scientific Research and Technology (ASRT) 4779
6 · The paper itself

Abstract

Nature and biological creatures are some of the main sources of inspiration for humans. Engineers have aspired to emulate these natural systems. As rigid systems become increasingly limited in their capabilities to perform complex tasks and adapt to their environment like living creatures, the need for soft systems has become more prominent due to the similar complex, compliant, and flexible characteristics they share with intelligent natural systems. This review provides an overview of the recent developments in the soft robotics field, with a focus on the underwater application frontier.

Indexed as

actuationcontroldesignlearningmodelingsoft roboticsunderwater robots

Identifiers

PMID35056275
PMCPMC8778375

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.