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Reconfigurable multi-robot coordination with guaranteed convergence in obstacle cluttered environments under local communication

机译:可重新配置的多机器人协调,在本地通信下的障碍杂乱环境中的保证融合

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Abstract In this paper, we consider a networked multi-robot system operating in an obstacle populated planar workspace under a single leader-multiple followers architecture. We propose a distributed reconfiguration strategy of the set of connectivity and formation specifications that assures convergence to the desired point, while guaranteeing global connectivity. In particular, we construct a low-level distributed navigation functions based controller that encodes the goals and safety requirements of the system. However, owing to topological obstructions, stable critical points other than the desired one may appear. In such case, we employ a high-level distributed discrete procedure which attempts to solve a distributed constraint satisfaction problem on a local Voronoi partition, providing the necessary reconfiguration for the system to progress towards its goal. Eventually, we show that the system either converges to the desired point or attains a tree configuration with respect to the formation topology, in which case the system switches to a novel controller based on the prescribed performance control technique, that eventually guarantees convergence. Finally, multiple simulation studies clarify and verify the approach.
机译:摘要在本文中,我们考虑在单个领导者 - 多个粉丝体系结构下在障碍物填充的平面工作空间中运行的网络化的多机器人系统。我们提出了一种分布式重新配置策略的连接和形成规范,并确保了所需点的收敛,同时保证全局连接。特别是,我们构建基于低级别的分布式导航功能,该控制器编码系统的目标和安全要求。然而,由于拓扑障碍物,可能出现除了所需的稳定临界点。在这种情况下,我们采用了一种高级分布式离散程序,该程序试图在本地Voronoi分区上解决分布式约束满足问题,为系统提供必要的重新配置以实现其目标。最终,我们表明系统将收敛到所需的点或相对于形成拓扑进行树形配置,在这种情况下,系统基于规定的性能控制技术切换到新型控制器,最终保证收敛。最后,多种仿真研究澄清并验证了这种方法。

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