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A Theoretical Approach Towards Optimizing the Movement of Catom Clusters in Micro Robotics Based on the Foraging Behaviour of Honey Bees

机译:基于蜜蜂的觅食行为优化微型机器人植物簇运动的理论方法

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Claytronics is a future technology in the field of artificial intelligence and modular robotics to create programmable nanoscale robots (catoms). Each catom acts like a computer. It has the ability to adopt different shapes. Many methods are being used for the cluster formation of catoms and are mainly based on the message passing techniques. The energy consumed and the time delays taken in cluster formation are depending on the number of messages sent between catoms and the topology factor. In this paper, we report a new optimisation algorithm for cluster formation in claytronics. The proposed methodology is based on the foraging behaviour of the honey bee swarm. The algorithm introduces many user-defined functions for optimising the operations in cluster formation. It also minimises the number of message transfers among catoms and chooses a maximum topology factor value to form a particular shape. The paper theoretically analyses the operation of cluster formation and makes a comparison with previous methods. The analysis shows that our work optimises the energy and message transfer in the catom-cluster formation.
机译:Claytronics是人工智能和模块化机器人领域的未来技术,可创建可编程纳米级机器人(捕获)。每种榴毛都像电脑一样。它有能力采用不同的形状。许多方法用于植物的簇形成,主要基于消息通过技术。所消耗的能量和群集形成中的时间延迟取决于捕获捕获和拓扑因子之间发送的消息的数量。在本文中,我们在Claytronics中报告了一种新的优化算法。所提出的方法基于蜂蜜蜜蜂群的觅食行为。该算法引入了许多用户定义的功能,用于优化群集形成中的操作。它还最小化了捕捉之间的消息转移数,并选择最大拓扑系数值以形成特定形状。本文理论上分析了簇形成的操作,并与先前的方法进行了比较。分析表明,我们的工作优化了CATOM簇形成中的能量和消息传输。

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