Battery Charge Dispatching in Multi-robot Systems

Zichao Xing, Weimin Wu, Haoyi Niu, Ruifen Hu
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引用次数: 1

Abstract

Multi-robot systems (MRSs) attract more and more attention due to their efficiency and safety. In a practical scenario, robots need to work for a long time without human intervention, which requires the robots do not run out of power. The battery charging strategy of most systems uses a fixed threshold or fixed periods to determine when robots should be charged. It does not consider the system task situation, nor the situation of charging station (CS) competition. This paper proposes an efficient charge dispatching strategy, which can ensure that a robot firstly completes a task quickly when it is scheduled to work and firstly be charged to be ready for a subsequent task when it is idle. For the case that multiple robots compete for the same CS, we designe a bidding strategy to determine which robot should be serviced. A rule-based charging strategy is used to compare with the proposed charge dispatching strategy in this paper. The results show that our method performs better in terms of stability and efficiency.
多机器人系统中的电池充电调度
多机器人系统以其高效性和安全性受到越来越多的关注。在实际场景中,机器人需要在没有人为干预的情况下长时间工作,这就要求机器人不耗尽动力。大多数系统的电池充电策略使用固定的阈值或固定的周期来确定机器人何时应该充电。它既没有考虑系统任务情况,也没有考虑充电站竞争情况。本文提出了一种高效的充电调度策略,该策略可以保证机器人在被安排工作时首先快速完成任务,在机器人空闲时首先充电为后续任务做好准备。对于多个机器人竞争同一个CS的情况,我们设计了一个竞标策略来确定哪个机器人应该得到服务。采用基于规则的收费策略与本文提出的收费调度策略进行比较。结果表明,该方法在稳定性和效率方面都有较好的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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