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Self-deployment of mobile robotic networks: an algorithm for decentralized sweep boundary coverage

机译:移动机器人网络的自我部署:分散式扫描边界覆盖算法

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Several non-holonomic Dubins-car-like robots travel over paths with bounded curvatures in a plane that contains an a priori unknown region. The robots are anonymous to one another and do not use communication facilities. Any of them has access to the current minimum distance to the region and can determine the relative positions and orientations of the other robots within a finite and given visibility range. We present a distributed navigation and guidance strategy under which every robot autonomously converges to the desired minimum distance to the region with always respecting a given safety margin, the robots do not collide with one another and do not get into clusters, and the entire team ultimately sweeps over the respective equidistant curve at a speed exceeding a given threshold, thus forming a kind of a sweeping barrier at the perimeter of the region. Moreover, this strategy provides effective sub-uniform distribution of the robots over the equidistant curve. Mathematically rigorous justification of the proposed strategy is offered; its effectiveness is confirmed by extensive computer simulations and experiments with real wheeled robots.
机译:几种非完整的类似杜宾斯的汽车机器人在包含先验未知区域的平面上以有限的曲率经过路径。机器人彼此之间是匿名的,并且不使用通讯工具。它们中的任何一个都可以访问到该区域的当前最小距离,并且可以确定在给定的有限可见性范围内其他机器人的相对位置和方向。我们提出了一种分布式导航和制导策略,在这种策略下,每个机器人始终遵循给定的安全裕度自动收敛到区域的所需最小距离,这些机器人不会彼此碰撞并且不会进入集群,最终整个团队以超过给定阈值的速度扫过各个等距曲线,从而在该区域的外围形成一种扫掠障碍。此外,该策略可在等距曲线上有效地对机器人进行次均匀分布。在数学上严格地提出了拟议策略的论证;其有效性已通过广泛的计算机模拟和真实轮式机器人的实验得到证实。

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