模块化机器人的三维随机重构

P. White, V. Zykov, J. Bongard, Hod Lipson
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引用次数: 223

摘要

本文介绍了一个模拟和两个物理三维随机模块化机器人系统,它们都具有自组装和自重构能力。我们假设单个单元只有在连接到生长结构时才能获得动力,并且没有驱动手段。相反,当它们不附着时,它们受到周围介质引起的随机运动的影响。我们提出了一个具有灵活脚本语言的仿真环境,允许并行和串行自组装和自重新配置过程。我们探索了控制组装和重构速度的因素,并表明与静态自组装相比,自重构可以用来加速特定形状的组装。然后,我们展示了两种不同的物理三维随机模块化机器人系统在流体中自我重新配置的能力。第二种物理实现仅由可以按比例缩小的技术组成,以实现微观尺度上的随机自组装和自重构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three Dimensional Stochastic Reconfiguration of Modular Robots
Here we introduce one simulated and two physical three-dimensional stochastic modular robot systems, all capable of self-assembly and self-reconfiguration. We assume that individual units can only draw power when attached to the growing structure, and have no means of actuation. Instead they are subject to random motion induced by the surrounding medium when unattached. We present a simulation environment with a flexible scripting language that allows for parallel and serial selfassembly and self-reconfiguration processes. We explore factors that govern the rate of assembly and reconfiguration, and show that self-reconfiguration can be exploited to accelerate the assembly of a particular shape, as compared with static self-assembly. We then demonstrate the ability of two different physical three-dimensional stochastic modular robot systems to self-reconfigure in a fluid. The second physical implementation is only composed of technologies that could be scaled down to achieve stochastic self-assembly and self-reconfiguration at the microscale.
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CiteScore
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