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Analysis of the role of wind information for efficient chemical plume tracing based on optogenetic silkworm moth behavior

机译:基于近氨蚕蛾行为的风力信息对高效化学羽化追踪的作用分析

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摘要

Many animals use olfactory information to search for feeding areas and other individuals in real time and with high efficiency. We focus on the chemical plume tracing (CPT) ability of male silkworm moths and investigate an efficient CPT strategy for an autonomous robot. In the case of flying insects, the wind direction is an important factor in CPT, because the wind carries odors amongst other environmental information. However, whether the same phenomenon occurs in the walking silkworm moth has not been investigated. Therefore, we examine how the silkworm moth uses wind information during CPT. To accurately investigate the response to the wind direction, we introduce an optogenetic approach that replaces the odor stimulation with light stimulation, allowing us to separate the 'wind stimulus' from the 'odor stimulus'. We examine how the moth uses wind direction information in a biological experiment, and find that the movement speed is significantly reduced when the wind speed is relatively fast (1.0 m s(-1)). By implementing this phenomenon in an autonomous robot, we can improve the successful search rate over that of the conventional moth-inspired algorithm. Regarding the search time, the proposed algorithm finds the odor source faster in a low-frequency odorant emission environment, whereas the search is slower than the conventional method when the odor frequency is higher. Therefore, switching from the use of wind direction information to odor information according to the frequency with which the odor is encountered leads to efficient CPT performance.
机译:许多动物使用嗅觉信息实时搜索喂养区域和其他个人,并高效。我们专注于雄性家蚕蛾的化学羽化纹理(CPT)能力,并调查一个自主机器人的有效CPT策略。在飞行昆虫的情况下,风向是CPT的重要因素,因为风在其他环境信息中有气味。然而,尚未调查行走蚕蛾发生同样的现象。因此,我们检查CPT期间蚕蛾如何使用风信息。为了准确研究对风向的响应,我们介绍了一种用光刺激取代气味刺激的致敏方法,使我们能够将“风刺激”分离“气味刺激”。我们研究蛾在生物实验中使用风向信息的方式,发现当风速相对快速时(1.0 m S(-1)),移动速度显着降低。通过在自主机器人中实施这种现象,我们可以通过传统的飞蛾启发算法的成功搜索率提高。关于搜索时间,所提出的算法在低频气味排放环境中找到了更快的气味源,而当气味频率较高时,搜索比传统方法慢。因此,根据气味被遇到的频率导致有效的CPT性能,从使用风向信息的使用到气味信息。

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