Evidence map›Paper›PMID 25831489›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Modulation of orthogonal body waves enables high maneuverability in sidewinding locomotion.

Henry C Astley, Chaohui Gong, Jin Dai, Matthew Travers, Miguel M Serrano, Patricio A Vela, Howie Choset, Joseph R Mendelson, David L Hu, Daniel I Goldman

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 104 citations in OpenAlex.

  1. Geometric phase predicts locomotion performance in undulating living systems across scales.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
  4. Self-propulsion via slipping: Frictional swimming in multilegged locomotors.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Functional consequences of convergently evolved microscopic skin features on snake locomotion.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Mechanical diffraction reveals the role of passive dynamics in a slithering snake.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. Article
  13. Snake robot uncovers secrets to sidewinders' maneuverability.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Henry C AstleyGeorgia Institute of Technology, Atlanta, GA 30332; henry.astley@physics.gatech.edu.
Chaohui GongCarnegie Mellon University, Pittsburgh, PA 15213; and.
Jin DaiCarnegie Mellon University, Pittsburgh, PA 15213; and.
Matthew TraversCarnegie Mellon University, Pittsburgh, PA 15213; and.
Miguel M SerranoGeorgia Institute of Technology, Atlanta, GA 30332;
Patricio A VelaGeorgia Institute of Technology, Atlanta, GA 30332;
Howie ChosetCarnegie Mellon University, Pittsburgh, PA 15213; and.
Joseph R MendelsonGeorgia Institute of Technology, Atlanta, GA 30332; Zoo Atlanta, Atlanta, GA 30315.
David L HuGeorgia Institute of Technology, Atlanta, GA 30332;
Daniel I GoldmanGeorgia Institute of Technology, Atlanta, GA 30332;
Georgia Institute of Technology · USCarnegie Mellon University · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many organisms move using traveling waves of body undulation, and most work has focused on single-plane undulations in fluids. Less attention has been paid to multiplane undulations, which are particularly important in terrestrial environments where vertical undulations can regulate substrate contact. A seemingly complex mode of snake locomotion, sidewinding, can be described by the superposition of two waves: horizontal and vertical body waves with a phase difference of ± 90°. We demonstrate that the high maneuverability displayed by sidewinder rattlesnakes (Crotalus cerastes) emerges from the animal's ability to independently modulate these waves. Sidewinder rattlesnakes used two distinct turning methods, which we term differential turning (26° change in orientation per wave cycle) and reversal turning (89°). Observations of the snakes suggested that during differential turning the animals imposed an amplitude modulation in the horizontal wave whereas in reversal turning they shifted the phase of the vertical wave by 180°. We tested these mechanisms using a multimodule snake robot as a physical model, successfully generating differential and reversal turning with performance comparable to that of the organisms. Further manipulations of the two-wave system revealed a third turning mode, frequency turning, not observed in biological snakes, which produced large (127°) in-place turns. The two-wave system thus functions as a template (a targeted motor pattern) that enables complex behaviors in a high-degree-of-freedom system to emerge from relatively simple modulations to a basic pattern. Our study reveals the utility of templates in understanding the control of biological movement as well as in developing control schemes for limbless robots.

Indexed as

AlgorithmsAnimalsBiomechanical PhenomenaCrotalusEnvironmentImage Processing, Computer-AssistedLocomotionOrientationRoboticsbiomechanicscontrolroboticssidewindertemplate

Identifiers

PMID25831489
PMCPMC4434722
OpenAlexW2007085249

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.