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摘要: 机器人对气味烟羽的可靠跟踪是实现气味源定位的关键. 本文主要针对实际时变流场环境中的机器人跟踪气味烟羽问题进行研究. 文中在机器人测得气味时估计气味包的最大可能路径, 在此基础上结合流向信息, 规划搜寻路径并使机器人沿此路径运动以跟踪气味烟羽. 考虑到气味浓度场的时变特性以及可能存在的基本浓度, 采用浓度相对变化量表征气味信息. 室内时变流场环境实验表明, 使用本文所提方法的机器人可实时、有效地跟踪烟羽并趋向气味源.Abstract: The reliable plume tracing is a critical issue for the implementation of odor source localization. This paper addresses the problem of tracing plume by a mobile robot in real time-variant flow-field environments. An estimatimation of the most likely path taken by the odor patch is to be done whenever the odor patch is detected by the gas sensor mounted on the mobile robot. Subsequently, a searching path is calculated and followed by the mobile robot to trace the odor plume with consideration of the likely odor path estimated and the flow direction at current time. The relative change of odor concentration is adopted as the concentration field is time-variant and might have a common foundational concentration. The experiment result in the indoor time-variant airflow-field environment has show that the mobile robot can be effectively guided in real time with the proposed method in tracing plume and reaching the odor source.
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Key words:
- Mobile robot /
- active olfaction /
- time-variant flow field /
- plume tracing
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