Evidence map›Paper›PMID 34389671›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A physical model of mantis shrimp for exploring the dynamics of ultrafast systems.

Emma Steinhardt, Nak-Seung P Hyun, Je-Sung Koh, Gregory Freeburn, Michelle H Rosen, Fatma Zeynep Temel, S N Patek, Robert J Wood

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
41.4field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Article
  3. A unified model for the dynamics of ATP-independent ultrafast contraction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. A power amplification dyad in seahorses.Proceedings. Biological sciences · 2023
    Article
  6. Adapting small jumping robots to compliant environments.Journal of the Royal Society, Interface · 2023
    Article
  7. Article
  8. Directional takeoff, aerial righting, and adhesion landing of semiaquatic springtails.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. 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

8 authors at 4 institutions in 2 countries.

Emma SteinhardtJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; estein@g.harvard.edu rjwood@seas.harvard.edu.ORCID 0000-0002-5632-5694
Nak-Seung P HyunJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-7840-7367
Je-Sung KohDepartment of Mechanical Engineering, Ajou University, Suwon, South Korea 16499.ORCID 0000-0002-7739-0882
Gregory FreeburnJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0003-2404-9610
Michelle H RosenJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-7398-4686
Fatma Zeynep TemelThe Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213.ORCID 0000-0002-1241-3959
S N PatekBiology Department, Duke University, Durham, NC 27708.ORCID 0000-0001-9738-882X
Robert J WoodJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; estein@g.harvard.edu rjwood@seas.harvard.edu.ORCID 0000-0001-7969-038X
Harvard University · USAjou University · KRCarnegie Mellon University · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient and effective generation of high-acceleration movement in biology requires a process to control energy flow and amplify mechanical power from power density-limited muscle. Until recently, this ability was exclusive to ultrafast, small organisms, and this process was largely ascribed to the high mechanical power density of small elastic recoil mechanisms. In several ultrafast organisms, linkages suddenly initiate rotation when they overcenter and reverse torque; this process mediates the release of stored elastic energy and enhances the mechanical power output of extremely fast, spring-actuated systems. Here we report the discovery of linkage dynamics and geometric latching that reveals how organisms and synthetic systems generate extremely high-acceleration, short-duration movements. Through synergistic analyses of mantis shrimp strikes, a synthetic mantis shrimp robot, and a dynamic mathematical model, we discover that linkages can exhibit distinct dynamic phases that control energy transfer from stored elastic energy to ultrafast movement. These design principles are embodied in a 1.5-g mantis shrimp scale mechanism capable of striking velocities over 26 m [Formula: see text] in air and 5 m [Formula: see text] in water. The physical, mathematical, and biological datasets establish latching mechanics with four temporal phases and identify a nondimensional performance metric to analyze potential energy transfer. These temporal phases enable control of an extreme cascade of mechanical power amplification. Linkage dynamics and temporal phase characteristics are easily adjusted through linkage design in robotic and mathematical systems and provide a framework to understand the function of linkages and latches in biological systems.

Indexed as

Energy TransferAnimalsBiomechanical PhenomenaCrustaceaHumansModels, BiologicalMotor ActivityRoboticsbioinspired mechanismsbioinspired roboticslinkage dynamicsmantis shrimpultrafast motions

Identifiers

PMID34389671
PMCPMC8379920
OpenAlexW3188221979

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.