受蚕蛾启发的时变化学羽流追踪

Jouh Yeong Chew, Shigaki Shunsuke, D. Kurabayashi
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引用次数: 0

摘要

化学烟羽追踪(CPT)在搜索和救援行动中非常重要,特别是当它涉及到化学颗粒释放到环境中时。本报告提出了仿生CPT算法的新方向。生物系统将嗅觉作为觅食、交配和归巢等自然本能的效率是无可争辩的。以往的研究提出了大量的仿生CPT解决方案。然而,结果表明这些算法需要进一步改进。在最近的研究中,对蚕蛾的运动进行了测量和分析,提出了行为在时域上的变化,这与生物系统的非线性是一致的。这激发了人们对识别时变CPT行为作为复杂嗅觉问题解决方案的进一步兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-variant chemical plume tracing inspired by the silk moth
Chemical plume tracing (CPT) is important in search and rescue operations, especially when it involves release of chemical particles into the environment. This report proposes the novel direction for bio-inspired CPT algorithms. The efficiency of biological systems in performing olfaction as natural instincts such as foraging, mating and homing is indisputable. Large number of bio-inspired CPT solutions are proposed by previous studies. However, the results suggest further improvement is desired for these algorithms. In the recent studies, locomotion of the silk moth is measured and analyzed to propose behavior variation in the time domain, which is consistent with nonlinearity of biological systems. This motivates further interest in identifying time-variant CPT behavior as the solution for complex olfactory problem.
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