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Learning from the Moth: A Comparative Study of Robot-Based Odor Source Localization Strategies

机译:从飞蛾中学习:基于机器人的气味定位策略的比较研究

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The odor search strategies of the moth have been researched since many decades. Many behavioral studies have described the behavior under well controlled conditions, making predictions on what the underlying mechanisms might be. However, it is almost impossible to asses these mechanisms directly since sensory and behavioral data on a freely behaving moth are very hard to obtain. Therefore, we propose a comparative study were the behavior of a robot is analyzed when controlled by a number of odor source localization models. Our results show that a system making use of stereo odor information outperforms some well-established chemical search models.
机译:几十年来,蛾的气味搜索策略已经研究过。许多行为研究已经描述了受控条件下的行为,使预测对底层机制可能是什么。然而,从自由行为飞蛾上的感官和行为数据非常难以获得,几乎不可能直接暗示这些机制。因此,我们提出了比较研究是在由许多气味源定位模型控制时分析机器人的行为。我们的研究结果表明,使用立体声内气象信息的系统优于一些建立良好的化学搜索模型。

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