Evidence map›Paper›PMID 37469630›Full record

ArticleFrontiers in robotics and AI2023

Gecko adhesion based sea star crawler robot.

Sampada Acharya, Peter Roberts, Tejas Rane, Raghav Singhal, Peize Hong, Viraj Ranade, Carmel Majidi, Victoria Webster-Wood, B Reeja-Jayan

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

Article in Frontiers in robotics and AI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review: Application of 3D Printing Technology in Soft Robots.3D printing and additive manufacturing · 2024
    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

9 authors at 1 institution in 1 country.

Sampada AcharyaFar-from-equilibrium Materials Laboratory, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Peter RobertsSoft Machines Lab, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Tejas RaneDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Raghav SinghalDepartment of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Peize HongDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Viraj RanadeDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Carmel MajidiSoft Machines Lab, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Victoria Webster-WoodThe CMU B.O.R.G, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
B Reeja-JayanFar-from-equilibrium Materials Laboratory, Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Carnegie Mellon University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the years, efforts in bioinspired soft robotics have led to mobile systems that emulate features of natural animal locomotion. This includes combining mechanisms from multiple organisms to further improve movement. In this work, we seek to improve locomotion in soft, amphibious robots by combining two independent mechanisms: sea star locomotion gait and gecko adhesion. Specifically, we present a sea star-inspired robot with a gecko-inspired adhesive surface that is able to crawl on a variety of surfaces. It is composed of soft and stretchable elastomer and has five limbs that are powered with pneumatic actuation. The gecko-inspired adhesion provides additional grip on wet and dry surfaces, thus enabling the robot to climb on 25° slopes and hold on statically to 51° slopes.

Indexed as

bio-inspired robotsgeckogecko adhesionsea starsoft-robots

Identifiers

PMID37469630
PMCPMC10352780
OpenAlexW4383068100

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.