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

被引:4
|
作者
Golov, Yiftach [1 ,2 ]
Benelli, Noam [3 ]
Gurka, Roi [4 ]
Harari, Ally [2 ]
Zilman, Gregory [3 ]
Liberzon, Alex [3 ]
机构
[1] Tel Aviv Univ, Porter Sch Environm & Earth Sci, Tel Aviv, Israel
[2] Volcani Ctr, Dept Entomol, Bet Dagan, Israel
[3] Tel Aviv Univ, Sch Mech Engn, Tel Aviv, Israel
[4] Coastal Carolina Univ, Dept Phys & Engn Sci, Conway, SC USA
关键词
Bio-inspiration; Moths; Odor localization; Navigation strategies; Simulation framework; MALE GYPSY MOTHS; CHEMICAL PLUME TRACKING; SEX-PHEROMONE; UPWIND FLIGHT; SCALE STRUCTURE; ODOR; ORIENTATION; STRATEGIES; ANEMOTAXIS; LOCALIZATION;
D O I
10.1016/j.mex.2021.101529
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 mothlike 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. (C) 2021 The Authors. Published by Elsevier B.V.
引用
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页数:17
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