Collaborative Searching Strategy for Multi-Amphibious Spherical Robots in 3D underwater environments

Shi Feng, Shuxiang Guo, Dan Yang, Ao Li, He Yin, Meng Liu
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Abstract

An improved multi-robot cooperative strategy based on the improved artificial bee colony algorithm is proposed for the task of underwater multi-robot cooperative area target search. The strategy consists of three stages: cruising stage, building capture alliance stage, and cooperative search stage. In the cruising stage, robot adopts the improved random walk algorithm for aimless cruising. In the building capture alliance stage, robot uses an auction algorithm for the assignment of search tasks. In the cooperative search stage, robot adopts the improved artificial bee colony algorithm for cooperative search of targets. Furthermore, simulations are conducted, and the results demonstrate that the proposed strategy can effectively guide multiple robots to perform area target search in unknown 3D underwater environments.
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三维水下环境下多水陆两栖球形机器人协同搜索策略
针对水下多机器人协同区域目标搜索任务,提出了一种基于改进人工蜂群算法的改进多机器人协同策略。该策略包括三个阶段:巡航阶段、构建捕获联盟阶段和协同搜索阶段。在巡航阶段,机器人采用改进的随机行走算法进行无目的巡航。在建筑物捕获联盟阶段,机器人使用拍卖算法分配搜索任务。在协同搜索阶段,机器人采用改进的人工蜂群算法对目标进行协同搜索。仿真结果表明,该策略能够有效地引导多机器人在未知的三维水下环境中进行区域目标搜索。
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