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A fuzzy approach to the autonomous recharging problem for mobile robots

机译:移动机器人自主充电问题的模糊方法

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Autonomous Mobile Robots should be independent from human assistance. One of the open issues is the ability to manage the energy level to maximize its use and avoid human interaction to rescue a robot without energy. Several works on the literature focus on how to recharge an autonomous mobile robot, proposing hardware modification and complex energy stations. In this paper we propose a new method to decide when to recharge a robot through a fuzzy approach with three fuzzy sets: the current energy level, the distance from the target and the distance from the energy station. Usually, autonomous mobile robots decide to recharge their battery based on a fixed threshold value. This approach is too simple and can result in wasted energy in several cases. Experiments show that our approach have better results than the fixed threshold, wasting less energy on aborted tasks.
机译:自主移动机器人应独立于人工协助。开放的问题之一是管理能量水平以最大程度地利用能量并避免人为干预以拯救没有能量的机器人的能力。文献中的几篇著作集中于如何为自动移动机器人充电,提出了硬件修改和复杂的能源站的建议。在本文中,我们提出了一种新的方法来决定何时通过具有三种模糊集的模糊方法为机器人充电:当前能量水平,距目标的距离和距能源站的距离。通常,自主移动机器人决定根据固定阈值为其电池充电。这种方法太简单了,在某些情况下会导致能源浪费。实验表明,我们的方法比固定阈值有更好的结果,在中止的任务上浪费了更少的精力。

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