早期婴儿行走建模:在NAO类人机器人上测试通用CPG架构

G. Lee, Robert J. Lowe, T. Ziemke
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引用次数: 7

摘要

在这篇文章中,我们展示了一个简单的CPG网络来模拟早期婴儿的行走,特别是独立行走的开始。婴儿早期步行和成人早期步行的差异是根据潜在的神经生理学和步态属性进行评估的。在此基础上,我们成功地在NAO机器人上建立了早期婴儿步行步态模型,并将其运动动力学和性能与婴儿进行了比较。我们的模型能够捕捉到早期婴儿行走的核心特性。我们确定了机器人和婴儿之间的形态学差异,以及这对他们各自表现的影响。综上所述,婴儿早期行走的发展是由CPG网络和形态特征决定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling early infant walking: Testing a generic CPG architecture on the NAO humanoid
In this article, a simple CPG network is shown to model early infant walking, in particular the onset of independent walking. The difference between early infant walking and early adult walking is addressed with respect to the underlying neurophysiology and evaluated according to gait attributes. Based on this, we successfully model the early infant walking gait on the NAO robot and compare its motion dynamics and performance to those of infants. Our model is able to capture the core properties of early infant walking. We identify differences in the morphologies between the robot and infant and the effect of this on their respective performance. In conclusion, early infant walking can be seen to develop as a function of the CPG network and morphological characteristics.
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