考虑可视区域各向异性的移动机器人群的广域持续覆盖控制

Hayate SUGAHARA, Akira KOJIMA
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引用次数: 0

摘要

研究了具有各向异性传感器距离的两轮移动机器人在复杂几何环境下的持续覆盖控制问题。持续覆盖控制是覆盖控制方法中的一种,它沿着时变密度函数的梯度持续覆盖区域。本文首先对传感区域为各向异性的两轮移动机器人的持续覆盖控制进行了研究,推导出了一种协调两轮移动机器人旋转和前进的控制律。为了在复杂几何环境下实现覆盖控制,提出了一种利用蒙特卡罗树搜索进行区域分配的规划方法。基于仿真和实验结果,讨论了该方法的优点和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
可視領域の異方性を考慮した移動ロボット群の広域持続被覆制御
A persistent coverage control problem in a complex geometry environment is considered for two-wheeled mobile robots with anisotropic sensor ranges. The persistent coverage control is one of the coverage control methods, which covers the region persistently along the gradient of the time-varying density function. In this paper, we first focus on the persistent coverage control for the two-wheeled mobile robots assuming that the sensing region is anisotropic, and derive a control law which coordinates the rotation and the forward motion. In order to achieve coverage control in the environments with complex geometry, we propose a region assignment planning by employing Monte Carlo tree search for the area allocation. The strength and limitation of the proposed method are discussed based on simulation and experimental results.
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