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Olfaction and Hearing Based Mobile Robot Navigation for Odor/Sound Source Search

机译:基于嗅觉和听觉的移动机器人导航用于气味/声源搜索

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摘要

Bionic technology provides a new elicitation for mobile robot navigation since it explores the way to imitate biological senses. In the present study, the challenging problem was how to fuse different biological senses and guide distributed robots to cooperate with each other for target searching. This paper integrates smell, hearing and touch to design an odor/sound tracking multi-robot system. The olfactory robot tracks the chemical odor plume step by step through information fusion from gas sensors and airflow sensors, while two hearing robots localize the sound source by time delay estimation (TDE) and the geometrical position of microphone array. Furthermore, this paper presents a heading direction based mobile robot navigation algorithm, by which the robot can automatically and stably adjust its velocity and direction according to the deviation between the current heading direction measured by magnetoresistive sensor and the expected heading direction acquired through the odor/sound localization strategies. Simultaneously, one robot can communicate with the other robots via a wireless sensor network (WSN). Experimental results show that the olfactory robot can pinpoint the odor source within the distance of 2 m, while two hearing robots can quickly localize and track the olfactory robot in 2 min. The devised multi-robot system can achieve target search with a considerable success ratio and high stability.
机译:仿生技术探索了模仿生物感官的方式,为移动机器人导航提供了新的启发。在本研究中,具有挑战性的问题是如何融合不同的生物感官,并指导分布式机器人相互协作以进行目标搜索。本文结合了气味,听觉和触觉来设计气味/声音跟踪多机器人系统。嗅觉机器人通过气体传感器和气流传感器的信息融合逐步跟踪化学气味羽流,而两个听力机器人通过时延估计(TDE)和麦克风阵列的几何位置来定位声源。此外,本文提出了一种基于航向的移动机器人导航算法,通过该算法,机器人可以根据磁阻传感器测量的当前航向与通过气味/获得的预期航向之间的偏差自动稳定地调整速度和方向。合理的本地化策略。同时,一个机器人可以通过无线传感器网络(WSN)与其他机器人通信。实验结果表明,嗅觉机器人可以在2 m的距离内查明气味源,而两个听力机器人可以在2分钟内快速定位并跟踪嗅觉机器人。所设计的多机器人系统能够以相当高的成功率和高稳定性实现目标搜索。

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