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Three Dimensional Stochastic Reconfiguration of Modular Robots

机译:模块化机器人的三维随机重配置

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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 self-assembly 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.
机译:在这里,我们介绍一个模拟的和两个物理的三维随机模块化机器人系统,它们都具有自组装和自重构功能。我们假设单个单元只有在连接到不断增长的结构时才可以汲取能量,而没有任何驱动手段。相反,它们在未连接时会受到周围介质诱导的随机运动。我们提供了一种具有灵活脚本语言的仿真环境,该脚本语言允许并行和串行自组装和自重配置过程。我们探索了控制组装和重新配置速度的因素,并表明与静态自组装相比,可以利用自重新配置来加速特定形状的组装。然后,我们演示了两个不同的物理三维随机模块化机器人系统在流体中自我重配置的能力。第二种物理实现仅由可以按比例缩小以实现微尺度上的随机自组装和自重配置的技术组成。

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