模块化机器人脚手架的3D涂层自组装

Pierre Thalamy, Benoît Piranda, J. Bourgeois
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引用次数: 10

摘要

本文研究了大型模块化机器人的自重构问题,以实现物体表示的形状形成。它的目的是表明,这一过程可以加速而不影响最终对象的视觉方面,通过使用以前介绍的沙盒和脚手架技术创建形状的内部骨架,然后用一层模块涂层这个骨架,以获得更高的视觉保真度。我们讨论了涂层问题的挑战,介绍了一种逐层构建支架涂层的基本方法,并表明即使使用简单的算法,我们的支架和涂层组合使用的模块比密集形状少得多,并且提供了有吸引力的重新配置时间。最后,我们证明了它可以是使用传统自重构算法构建密集形状的强大替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Coating Self-Assembly for Modular Robotic Scaffolds
This paper addresses the self-reconfiguration problem in large-scale modular robots for the purpose of shape formation for object representation. It aims to show that this process can be accelerated without compromising on the visual aspect of the final object, by creating an internal skeleton of the shape using the previously introduced sandboxing and scaffolding techniques, and then coating this skeleton with a layer of modules for higher visual fidelity.We discuss the challenges of the coating problem, introduce a basic method for constructing the coating of a scaffold layer by layer, and show that even with a straightforward algorithm, our scaffolding and coating combo uses much fewer modules than dense shapes and offers attractive reconfiguration times. Finally, we show that it could be a strong alternative to the construction of dense shapes using traditional self-reconfiguration algorithms.
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