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Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging

机译:永久机器人群:使用现场电感充电的移动机器人长期自主

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摘要

Swarm robotics studies the intelligent collective behaviour emerging from long-term interactions of large number of simple robots. However, maintaining a large number of robots operational for long time periods requires significant battery capacity, which is an issue for small robots. Therefore, re-charging systems such as automated battery-swapping stations have been implemented. These systems require that the robots interrupt, albeit shortly, their activity, which influences the swarm behaviour. In this paper, a low-cost on-the-fly wireless charging system, composed of several charging cells, is proposed for use in swarm robotic research studies. To determine the system’s ability to support perpetual swarm operation, a probabilistic model that takes into account the swarm size, robot behaviour and charging area configuration, is outlined. Based on the model, a prototype system with 12 charging cells and a small mobile robot, Mona , was developed. A series of long-term experiments with different arenas and behavioural configurations indicated the model’s accuracy and demonstrated the system’s ability to support perpetual operation of multi-robotic system.
机译:群体机器人研究了大量简单机器人的长期交互出现的智能集体行为。然而,维持大量运营长期段的机器人需要显着的电池容量,这是小型机器人的问题。因此,已经实现了诸如自动电池交换站的重新充电系统。这些系统要求机器人中断,尽管是影响群体行为的活动。本文提出了一种由几种充电电池组成的低成本的无线无线充电系统,以用于群体机器人研究研究。为了确定系统支持永久群体操作的能力,概述了考虑了群体大小,机器人行为和充电区域配置的概率模型。基于该模型,开发了具有12个充电电池和小型移动机器人Mona的原型系统。具有不同竞技场和行为配置的一系列长期实验表明了模型的准确性,并证明了系统支持多机器人系统永久运行的能力。

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