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Towards programmable material: Flexible distributed algorithm for modular robots shape-shifting

机译:迈向可编程材料:模块化机器人变形的灵活分布式算法

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The programmable material is one of the most challenging problem in micro-robotic field. In addition to the problems raised by manufacturing of millimeter-scale mobile devices; the conception of the distributed asynchronous algorithms allowing the coordination of large number of robots remains a very complex task. Programmable materials have many applications in field of paintable displays, prototyping, locomotion, … We propose in this paper an original flexible distributed algorithm allowing to reorganize a set of modular micro-robot into a desired target shape. The efficiency of such algorithm is assessed on the basis of the memory requirements, communication load and the amount of performed movements to reach the final shapes. The proposed algorithm shows a great flexibility concerning the range of target shapes, partly thanks to the no need for an explicit description of the final shape. To assess the computational performances of the algorithm, we proposed a linear programming model of the shape-shifting problem giving the lower bounds of optimized criteria. The comparison of our results with those given by the relaxed linear programming proves the efficiency of our approach.
机译:可编程材料是微型机器人领域最具挑战性的问题之一。除了制造毫米级移动设备所带来的问题之外;允许大量机器人进行协调的分布式异步算法的概念仍然是一项非常复杂的任务。可编程材料在可上漆的显示器,原型制作,运动等领域具有许多应用。...我们在本文中提出了一种原始的灵活分布式算法,该算法可以将一组模块化微型机器人重组为所需的目标形状。这种算法的效率是根据内存需求,通信负载以及为达到最终形状而执行的运动量来评估的。提出的算法在目标形状的范围方面显示出很大的灵活性,部分原因是不需要对最终形状进行明确的描述。为了评估该算法的计算性能,我们提出了一种形状优化问题的线性规划模型,给出了优化标准的下限。将我们的结果与宽松的线性规划给出的结果进行比较,证明了我们方法的有效性。

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