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Distributed Coordination of Wheeled Mobile Robots for Unknown Moving Targets Interception

机译:轮式移动机器人在未知移动目标拦截中的分布式协调

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This paper investigates distributed coordination of a team of wheeled mobile robots for multiple moving targets interception over a convex domain. In order to successfully intercept potential intruders entering the mission domain from different orientations, mobile robots are dynamically deployed to monitor the whole area and track moving targets once they are detected at a certain location. Due to the lack of knowledge about the numbers and online dynamic models of targets, a time-varying priority function indicating the most probable area where these targets may appear is introduced to increase the chance of intercepting them. Meanwhile, a target switching mechanism is employed to decide when targets should be considered by each mobile robot for interception task. Based on this priority function, a novel distributed coverage control law is designed to guarantee that wheeled mobile robots asymptotically converge to their generalized Centroidal Voronoi Tessellation and minimize the cost function with respect to those moving targets. Simulation results are given to present the advantage of the proposed approach over traditional coverage control strategy.
机译:本文研究了轮式移动机器人团队在凸域上的多个移动目标拦截的分布式协调。为了成功拦截从不同方向进入任务域的潜在入侵者,移动机器人被动态部署以监视整个区域,并在特定位置检测到移动目标后对其进行跟踪。由于缺乏关于目标的数量和在线动态模型的知识,引入了指示这些目标可能出现的最可能区域的时变优先级函数,以增加拦截目标的机会。同时,采用目标切换机制来决定每个移动机器人何时应考虑目标以进行拦截任务。基于此优先级函数,设计了一种新颖的分布式覆盖控制律,以确保轮式移动机器人渐近收敛于其广义质心Voronoi曲面细分,并最大程度地降低了针对那些移动目标的成本函数。仿真结果表明了该方法相对于传统的覆盖控制策略的优势。

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