Evidence map›Paper›PMID 37553994›Full record

ArticleJournal of the Royal Society, Interface2023

Towards the optimization of passive undulatory locomotion on land: mathematical and physical models.

Basit Yaqoob, Emanuela Del Dottore, Alessio Mondini, Andrea Rodella, Barbara Mazzolai, Nicola M Pugno

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Basit YaqoobLaboratory for Bioinspired, Bionic, Nano, Meta Materials and Mechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento 38122, Italy.ORCID 0000-0001-6899-2032
Emanuela Del DottoreLaboratory of Bioinspired Soft Robotics, Center for Convergent Technologies, Istituto Italiano di Tecnologia, Genova 16163, Italy.ORCID 0000-0001-6874-1970
Alessio MondiniLaboratory of Bioinspired Soft Robotics, Center for Convergent Technologies, Istituto Italiano di Tecnologia, Genova 16163, Italy.ORCID 0000-0002-2303-2844
Andrea RodellaDepartment of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome 00184, Italy.ORCID 0000-0003-4321-313X
Barbara MazzolaiLaboratory of Bioinspired Soft Robotics, Center for Convergent Technologies, Istituto Italiano di Tecnologia, Genova 16163, Italy.ORCID 0000-0003-0722-8350
Nicola M PugnoLaboratory for Bioinspired, Bionic, Nano, Meta Materials and Mechanics, Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento 38122, Italy.ORCID 0000-0003-2136-2396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study investigates the body-environment interaction and exploits the passive viscoelastic properties of the body to perform undulatory locomotion. The investigations are carried out using a mathematical model based on a dry frictional environment, and the results are compared with the performance obtained using a physical model. The physical robot is a wheel-based modular system with flexible joints moving on different substrates. The influence of the spatial distribution of body stiffness on speed performance is also investigated. Our results suggest that the environment affects the performance of undulatory locomotion based on the distribution of body stiffness. While stiffness may vary with the environment, we have established a qualitative constitutive law that holds across environments. Specifically, we expect the stiffness distribution to exhibit either an ascending-descending or an ascending-plateau pattern along the length of the object, from head to tail. Furthermore, undulatory locomotion showed sensitivity to contact mechanics: solid-solid or solid-viscoelastic contact produced different locomotion kinematics. Our results elucidate how terrestrial limbless animals achieve undulatory locomotion performance by exploiting the passive properties of the environment and the body. Application of the results obtained may lead to better performing long-segmented robots that exploit the suitability of passive body dynamics and the properties of the environment in which they need to move.

Indexed as

LocomotionModels, TheoreticalAnimalsBiomechanical Phenomenaendogenous and exogenous dynamicspassive adaptabilityspeed maximizationstiffness distributionundulatory locomotion

Identifiers

PMID37553994
PMCPMC10410216

What OpenQuestion holds

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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.