Evidence map›Paper›PMID 31910778›Full record

ArticleJournal of the Royal Society, Interface2020

Sea star inspired crawling and bouncing.

Sina Heydari, Amy Johnson, Olaf Ellers, Matthew J McHenry, Eva Kanso

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Nonreciprocal buckling makes active filaments polyfunctional.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Tube feet dynamics drive adaptation in sea star locomotion.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Soft skeletons transmit force with variable gearing.The Journal of experimental biology · 2024
    Article
  7. Gecko adhesion based sea star crawler robot.Frontiers in robotics and AI · 2023
    Article
  8. Article
  9. Article
  10. 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

5 authors.

Sina HeydariDepartment of Aerospace and Mechanical Engineering, University of Southern California, 854 Downey Way, Los Angeles, CA 90089, USA.
Amy JohnsonDepartment of Biology, Bowdoin College, 6500 College Station Brunswick, ME 04011, USA.
Olaf EllersDepartment of Biology, Bowdoin College, 6500 College Station Brunswick, ME 04011, USA.
Matthew J McHenryDepartment of Ecology and Evolutionary Biology, University of California Irvine, 321 Steinhaus Hall, Irvine, CA 92697, USA.
Eva KansoDepartment of Aerospace and Mechanical Engineering, University of Southern California, 854 Downey Way, Los Angeles, CA 90089, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oral surface of sea stars is lined with arrays of tube feet that enable them to achieve highly controlled locomotion on various terrains. The activity of the tube feet is orchestrated by a nervous system that is distributed throughout the body without a central brain. How such a distributed nervous system produces a coordinated locomotion is yet to be understood. We develop mathematical models of the biomechanics of the tube feet and the sea star body. In the model, the feet are coupled mechanically through their structural connection to a rigid body. We formulate hierarchical control laws that capture salient features of the sea star nervous system. Namely, at the tube foot level, the power and recovery strokes follow a state-dependent feedback controller. At the system level, a directionality command is communicated through the nervous system to all tube feet. We study the locomotion gaits afforded by this hierarchical control model. We find that these minimally coupled tube feet coordinate to generate robust forward locomotion, reminiscent of the crawling motion of sea stars, on various terrains and for heterogeneous tube feet parameters and initial conditions. Our model also predicts a transition from crawling to bouncing consistently with recent experiments. We conclude by commenting on the implications of these findings for understanding the neuromechanics of sea stars and their potential application to autonomous robotic systems.

Indexed as

LocomotionStarfishAnimalsBiomechanical Phenomenadecentralized and hierarchical controldistributed soft actuatorslocomotion and gait transitionsneuromechanics

Identifiers

PMID31910778
PMCPMC7014793

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.