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Swarm robotic odor source localization using ant colony algorithm

机译:群蚁群算法在机器人气味源定位中的应用

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A multiple odor sources search strategy based on a modified ant algorithm is proposed to enable the multi-robot system to search for the odor sources that exist in the indoor environment by imitating the forage behavior of ant colony. The search strategy includes two parts, which are odor tracking strategy and odor sources localization strategy. The tracking strategy consists of a modified ant colony algorithm. The localization strategy is an odor source verification procedure introduced into the tracking process to localize multiple odor sources. Simulation results show that the proposed strategy can effectively enable the robot system to search and determine the odor sources quickly and accurately.
机译:提出了一种基于改进蚁群算法的气味源搜索策略,通过模仿蚁群的觅食行为,使多机器人系统能够搜索室内环境中存在的气味源。搜索策略包括气味跟踪策略和气味源定位策略两部分。跟踪策略由改进的蚁群算法组成。定位策略是将气味源验证过程引入跟踪过程中,以定位多个气味源。仿真结果表明,所提出的策略能够有效地使机器人系统快速准确地搜索并确定臭味源。

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