Optimal leap angle of legged and legless insects in a landscape of uniformly distributed random obstacles.

animal movement ballistics insects jumping leap angle robotic exploration

Journal

Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528

Informations de publication

Date de publication:
26 May 2021
Historique:
entrez: 4 6 2021
pubmed: 5 6 2021
medline: 5 6 2021
Statut: epublish

Résumé

We investigate theoretically the ballistic motion of small legged insects and legless larvae after a jump. Notwithstanding their completely different morphologies and jumping strategies, some legged and legless animals have convergently evolved to jump with a take-off angle of 60°, which differs significantly from the leap angle of 45° that allows reaching maximum range. We show that in the presence of uniformly distributed random obstacles the probability of a successful jump is directly proportional to the area under the trajectory. In the presence of negligible air drag, the probability is maximized by a take-off angle of 60°. The numerical calculation of the trajectories shows that they are significantly affected by air drag, but the maximum probability of a successful jump still occurs for a take-off angle of 59-60° in a wide range of the dimensionless Reynolds and Froude numbers that control the process. We discuss the implications of our results for the exploration of unknown environments such as planets and disaster scenarios by using jumping robots.

Identifiants

pubmed: 34084545
doi: 10.1098/rsos.202279
pii: rsos202279
pmc: PMC8150032
doi:

Banques de données

figshare
['10.6084/m9.figshare.c.5431274']

Types de publication

Journal Article

Langues

eng

Pagination

202279

Informations de copyright

© 2021 The Authors.

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Auteurs

Fabio Giavazzi (F)

Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, 20133 Milano, Italy.

Samuele Spini (S)

Dipartimento di Fisica A. Pontremoli, Università degli Studi di Milano, 20133 Milano, Italy.

Marina Carpineti (M)

Dipartimento di Fisica A. Pontremoli, Università degli Studi di Milano, 20133 Milano, Italy.

Alberto Vailati (A)

Dipartimento di Fisica A. Pontremoli, Università degli Studi di Milano, 20133 Milano, Italy.

Classifications MeSH