Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework

Olfactory navigation is defined as a task of a self-propelled navigator with some sensors capabilities to detect odor (or scalar concentration) convected and diffused in a windy environment. Known for their expertise in locating an odor source, male moths feature a bio-inspirational model of olfacto...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yiftach Golov, Noam Benelli, Roi Gurka, Ally Harari, Gregory Zilman, Alex Liberzon
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	`Mothpy 0.0.1' - an open-source moth-inspired navigator simulator Science Q
Acceso en línea:	https://doaj.org/article/7c34224a1c8c40e3a82017b6b0141dd0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7c34224a1c8c40e3a82017b6b0141dd0
record_format	dspace
spelling	oai:doaj.org-article:7c34224a1c8c40e3a82017b6b0141dd02021-11-24T04:31:19ZOpen-source computational simulation of moth-inspired navigation algorithm: A benchmark framework2215-016110.1016/j.mex.2021.101529https://doaj.org/article/7c34224a1c8c40e3a82017b6b0141dd02021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2215016121003228https://doaj.org/toc/2215-0161Olfactory navigation is defined as a task of a self-propelled navigator with some sensors capabilities to detect odor (or scalar concentration) convected and diffused in a windy environment. Known for their expertise in locating an odor source, male moths feature a bio-inspirational model of olfactory navigation using chemosensory. Many studies have developed moths-inspired algorithms based on proposed strategies of odor-sourcing. However, comparing among various bio-inspired strategies is challenging, due to the lack of a componential framework that allows statistical comparison of their performances, in a controlled environment. This work aims at closing this gap, using an open source, freely accessible simulation framework. To demonstrate the applicability of our simulated framework as a benchmarking tool, we implemented two different moth-inspired navigation strategies; for each strategy, specific modifications in the navigation module were carried out, resulting in four different navigation models. We tested the performance of moth-like navigators of these models through various wind and odor spread parameters in a virtual turbulent environment. The performance of the navigators was comprehensively analyzed using bio-statistical tests. This benchmark-ready simulation framework could be useful for the biology-oriented, as well as engineering-oriented studies, assisting in deducing the evolutionary efficient strategies and improving self-propelled autonomous systems in complex environments. • The open-source framework `Mothpy' provides a computational platform that simulates the behavior of moth-like navigators, using two main inputs to be modified by the user: (1) flow condition; and (2) navigation strategy. • `Mothpy' can be used as a benchmarking platform to compare the performance of multiple moth-like navigators, under various physical environments, and different searching strategies. • Method name: Mothpy 0.0.1' - an open-source moth-inspired navigator simulator.Yiftach GolovNoam BenelliRoi GurkaAlly HarariGregory ZilmanAlex LiberzonElsevierarticle`Mothpy 0.0.1' - an open-source moth-inspired navigator simulatorScienceQENMethodsX, Vol 8, Iss , Pp 101529- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	`Mothpy 0.0.1' - an open-source moth-inspired navigator simulator Science Q
spellingShingle	`Mothpy 0.0.1' - an open-source moth-inspired navigator simulator Science Q Yiftach Golov Noam Benelli Roi Gurka Ally Harari Gregory Zilman Alex Liberzon Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
description	Olfactory navigation is defined as a task of a self-propelled navigator with some sensors capabilities to detect odor (or scalar concentration) convected and diffused in a windy environment. Known for their expertise in locating an odor source, male moths feature a bio-inspirational model of olfactory navigation using chemosensory. Many studies have developed moths-inspired algorithms based on proposed strategies of odor-sourcing. However, comparing among various bio-inspired strategies is challenging, due to the lack of a componential framework that allows statistical comparison of their performances, in a controlled environment. This work aims at closing this gap, using an open source, freely accessible simulation framework. To demonstrate the applicability of our simulated framework as a benchmarking tool, we implemented two different moth-inspired navigation strategies; for each strategy, specific modifications in the navigation module were carried out, resulting in four different navigation models. We tested the performance of moth-like navigators of these models through various wind and odor spread parameters in a virtual turbulent environment. The performance of the navigators was comprehensively analyzed using bio-statistical tests. This benchmark-ready simulation framework could be useful for the biology-oriented, as well as engineering-oriented studies, assisting in deducing the evolutionary efficient strategies and improving self-propelled autonomous systems in complex environments. • The open-source framework `Mothpy' provides a computational platform that simulates the behavior of moth-like navigators, using two main inputs to be modified by the user: (1) flow condition; and (2) navigation strategy. • `Mothpy' can be used as a benchmarking platform to compare the performance of multiple moth-like navigators, under various physical environments, and different searching strategies. • Method name: Mothpy 0.0.1' - an open-source moth-inspired navigator simulator.
format	article
author	Yiftach Golov Noam Benelli Roi Gurka Ally Harari Gregory Zilman Alex Liberzon
author_facet	Yiftach Golov Noam Benelli Roi Gurka Ally Harari Gregory Zilman Alex Liberzon
author_sort	Yiftach Golov
title	Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
title_short	Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
title_full	Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
title_fullStr	Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
title_full_unstemmed	Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework
title_sort	open-source computational simulation of moth-inspired navigation algorithm: a benchmark framework
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/7c34224a1c8c40e3a82017b6b0141dd0
work_keys_str_mv	AT yiftachgolov opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework AT noambenelli opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework AT roigurka opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework AT allyharari opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework AT gregoryzilman opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework AT alexliberzon opensourcecomputationalsimulationofmothinspirednavigationalgorithmabenchmarkframework
_version_	1718415985352900608

Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework

Ejemplares similares