Applying a control system with low energy consumption and low load of motion control to robots, similar to living organisms, is considered to be one of the most important issues in robot development. We have been studying systems that use pulse-type hardware neural networks to control robotic motion with a small number of control signals, as is the case in living organisms. In particular, it has been mimicking the function of the central pattern generator localized in the spinal cord of living organisms to generate motion patterns. In the present article, a new biomimetic control system using pulse-type hardware neural networks for biped gait control is reported.

中文翻译：

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使用低功耗硬件中央模式发生器模型的人体肌肉骨骼模型的行走和跑步控制

将低能耗、低负载的运动控制系统应用于机器人，类似于生物体，被认为是机器人开发中最重要的问题之一。我们一直在研究使用脉冲型硬件神经网络通过少量控制信号来控制机器人运动的系统，就像生物体中的情况一样。特别是，它一直在模仿位于生物体脊髓中的中央模式发生器的功能，以产生运动模式。在本文中，报告了一种使用脉冲型硬件神经网络进行双足步态控制的新型仿生控制系统。