Evidence map›Paper›PMID 30257925›Full record

ArticleJournal of the Royal Society, Interface2018

All common bipedal gaits emerge from a single passive model.

Zhenyu Gan, Yevgeniy Yesilevskiy, Petr Zaytsev, C David Remy

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Humans plan for the near future to walk economically on uneven terrain.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

4 authors.

Zhenyu GanRobotics and Motion Laboratory (RAMlab), Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA ganzheny@umich.edu.ORCID 0000-0002-5972-9600
Yevgeniy YesilevskiyRobotics and Motion Laboratory (RAMlab), Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-1181-1699
Petr ZaytsevRobotics and Motion Laboratory (RAMlab), Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8887-548X
C David RemyRobotics and Motion Laboratory (RAMlab), Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-4072-8034

Funding

NRI: Wearable eMbots to Induce Recovery of FunctionR01EB019834 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DURFEE, WILLIAM K, GILLESPIE, RICHARD BRENT · 2014 to 2016
$854k
NIBIB NIH HHS R01 EB019834
6 · The paper itself

Abstract

In this paper, we systematically investigate passive gaits that emerge from the natural mechanical dynamics of a bipedal system. We use an energetically conservative model of a simple spring-leg biped that exhibits well-defined swing leg dynamics. Through a targeted continuation of periodic motions of this model, we systematically identify different gaits that emerge from simple bouncing in place. We show that these gaits arise along one-dimensional manifolds that bifurcate into different branches with distinctly different motions. The branching is associated with repeated breaks in symmetry of the motion. Among others, the resulting passive dynamic gaits include walking, running, hopping, skipping and galloping. Our work establishes that the most common bipedal gaits can be obtained as different oscillatory motions (or nonlinear modes) of a single mechanical system with a single set of parameter values. For each of these gaits, the timing of swing leg motion and vertical motion is matched. This work thus supports the notion that different gaits are primarily a manifestation of the underlying natural mechanical dynamics of a legged system. Our results might explain the prevalence of certain gaits in nature, and may provide a blueprint for the design and control of energetically economical legged robots.

Indexed as

GaitRunningWalkingAnimalsBiomechanical PhenomenaHumansModels, BiologicalMovementNonlinear DynamicsOscillometryRoboticsbifurcationsbipedal gaitspassive dynamics

Identifiers

PMID30257925
PMCPMC6170781

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.