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Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks

机译:无线分布式协议设计中的群体机器人,用于协调合作任务所涉及的机器人

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The mine detection in an unexplored area is an optimization problem where multiple mines, randomly distributed throughout an area, need to be discovered and disarmed in a minimum amount of time. We propose a strategy to explore an unknown area, using a stigmergy approach based on ants behavior, and a novel swarm-based protocol to recruit and coordinate robots for disarming the mines cooperatively. Simulation tests are presented to show the effectiveness of our proposed ant-based task robot coordination with only the exploration task and with both exploration and recruiting strategies. Multiple minimization objectives have been considered: the robots' recruiting time and the overall area exploration time. We discuss, through simulation, different cases under different network and field conditions, performed by the robots. The results have shown that the proposed decentralized approaches enable the swarm of robots to perform cooperative tasks intelligently without any central control.
机译:在未开发的区域中的矿井检测是优化问题,其中需要在最近的时间内发现和解除在整个区域随机分布的多个地雷。 我们提出了一种利用基于蚂蚁行为的耻辱方法探索未知区域的策略,以及招聘和协调机器人的新型群协议,以便协同挖掘矿山。 提出了模拟测试,以表明我们提出的基于蚂蚁任务机器人协调的有效性与勘探任务以及勘探和招聘策略。 已经考虑了多种最小化目标:机器人的招聘时间和整体区域勘探时间。 我们通过模拟,通过机器人执行的不同网络和现场条件下的不同情况讨论。 结果表明,建议的分散方法使得机器人的群体能够智能地执行合作任务而没有任何中央控制。

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