多机器人在充电时仍能保持网络连通与覆盖效果
Energy-Constrained Resilient Multi-Robot Coverage Control
- 构建三模式混合系统模型,动态管理覆盖、返航、充电状态
- 通过能量约束设计模式切换条件,确保任务持续进行
- 基于能量感知的方位刚性网络提升系统抗干扰能力
当多个机器人同时离开任务区域充电时,其通信与感知网络拓扑会被破坏,导致多机器人覆盖控制变得极具挑战。为此,本文提出一种具有韧性的网络设计与控制方法,使机器人在满足能量约束的同时,仍能实现期望的覆盖性能并维持网络连通性。将多机器人系统(MRS)的运动、能量与网络动态建模为包含覆盖、返回基地和充电三个模式的混合系统。研究表明,满足能量约束可转化为各模式间切换的合理守卫条件设计。此外,提出一套系统化流程,利用能量感知的方位刚性网络设计来实现网络拓扑的构建、维护与重构,从而增强系统在部分机器人离线充电时的结构韧性。最后,通过数值仿真验证了所提方法的有效性。
原文摘要 · Abstract (English)
The problem of multi-robot coverage control becomes significantly challenging when multiple robots leave the mission space simultaneously to charge their batteries, disrupting the underlying network topology for communication and sensing. To address this, we propose a resilient network design and control approach that allows robots to achieve the desired coverage performance while satisfying energy constraints and maintaining network connectivity throughout the mission. We model the combined motion, energy, and network dynamics of the multirobot systems (MRS) as a hybrid system with three modes, i.e., coverage, return-to-base, and recharge, respectively. We show that ensuring the energy constraints can be transformed into designing appropriate guard conditions for mode transition between each of the three modes. Additionally, we present a systematic procedure to design, maintain, and reconfigure the underlying network topology using an energy-aware bearing rigid network design, enhancing the structural resilience of the MRS even when a subset of robots departs to charge their batteries. Finally, we validate our proposed method using numerical simulations.
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