Building Intelligence in the Mechanical Domain—Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks
Building Intelligence in the Mechanical Domain—Harvesting the Reservoir Computing Power in Origami to Achieve Information Perception Tasks
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DOI：
10.1002/aisy.202300086
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发表时间：
2023-02
影响因子：
7.4
通讯作者：
Jun Wang;Suyi Li
中科院分区：
文献类型：
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作者：
Jun Wang;Suyi Li
在这里，一个简单的，基于纸张的Miura‐ ori的认知能力-使用物理水库计算框架-进行实验研究，以实现不同的信息感知任务。由简谐基激励激励的Miura‐ori的身体动力学（也称为其顶点位移）可以用作水库计算资源。通过使用高分辨率相机和图像处理程序记录这些动态，然后使用线性回归进行训练，表明折纸水库具有足够的计算能力来估计有效载荷的重量和位置。它还可以识别输入的频率和幅度模式。此外，多任务可通过同时将两个目标函数应用于同一储层状态矩阵来实现。因此，证明了Miura‐ori可以评估其身体与周围环境之间的动态相互作用，以提取有意义的信息-机械领域的智能行为。鉴于Miura‐ori已被广泛用于构建可展开结构、轻质材料和柔顺机器人，因此实现此类信息感知任务可以为此类多功能结构的功能添加新的维度。
Herein, the cognitive capability of a simple, paper‐based Miura‐ori—using the physical reservoir computing framework—is experimentally examined to achieve different information perception tasks. The body dynamics of Miura‐ori (aka its vertices displacements), which is excited by a simple harmonic base excitation, can be exploited as the reservoir computing resource. By recording these dynamics with a high‐resolution camera and image processing program and then using linear regression for training, it is shown that the origami reservoir has sufficient computing capacity to estimate the weight and position of a payload. It can also recognize the input frequency and magnitude patterns. Furthermore, multitasking is achievable by simultaneously applying two targeted functions to the same reservoir state matrix. Therefore, it is demonstrated that Miura‐ori can assess the dynamic interactions between its body and ambient environment to extract meaningful information—an intelligent behavior in the mechanical domain. Given that Miura‐ori has been widely used to construct deployable structures, lightweight materials, and compliant robots, enabling such information perception tasks can add a new dimension to the functionality of such a versatile structure.