论文标题
用多机器人系统渐近边界收缩控制
Asymptotic Boundary Shrink Control with Multi-robot Systems
论文作者
论文摘要
有害的海洋溢出物,例如藻类开花和溢油,损害生态系统和巨大威胁公共卫生。因此,有效的溢出覆盖范围和去除策略将在环境保护中发挥重要作用。近年来,低成本的水面机器人已作为解决方案出现,其功效在小规模上验证。但是,诸如连接性,可伸缩性和传感和操作等实际限制会大大损害其大规模使用。为了避免这些局限性,我们提出了一种新型的渐近边界收缩控制策略,该策略可以通过具有自主操作范围的自主机器人对溢出的集体覆盖。对于每个机器人,实现了一个新型控制器,仅依靠视觉范围有限的本地视觉传感器。此外,此策略的分布性允许在没有机器人间碰撞的情况下使用任何数量的机器人。最后,通过大量的模拟实验,可以验证这种方法的特征,包括在边界收缩控制过程中机器人运动的收敛,溢出清除率以及在有限视力和无线连接范围内工作的能力。
Harmful marine spills, such as algae blooms and oil spills, damage ecosystems and threaten public health tremendously. Hence, an effective spill coverage and removal strategy will play a significant role in environmental protection. In recent years, low-cost water surface robots have emerged as a solution, with their efficacy verified at small scale. However, practical limitations such as connectivity, scalability, and sensing and operation ranges significantly impair their large-scale use. To circumvent these limitations, we propose a novel asymptotic boundary shrink control strategy that enables collective coverage of a spill by autonomous robots featuring customized operation ranges. For each robot, a novel controller is implemented that relies only on local vision sensors with limited vision range. Moreover, the distributedness of this strategy allows any number of robots to be employed without inter-robot collisions. Finally, features of this approach including the convergence of robot motion during boundary shrink control, spill clearance rate, and the capability to work under limited ranges of vision and wireless connectivity are validated through extensive experiments with simulation.