Silicon Micro-Robot With Neural Networks

Ken Saito, M. Takato, Y. Sekine, F. Uchikoba
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引用次数: 2

Abstract

Insect type 4.0, 2.7, 2.5 mm. width, length, height size silicon micro-robot system with active hardware neural networks locomotion controlling system is presented in this chapter. The micro-robot system was made from a silicon wafer fabricated by Micro-Electro Mechanical Systems (MEMS) technology. The mechanical system of the robot equipped with millimeter-size rotary type actuators, link mechanisms, and six legs to realize the insect-like switching behavior. In addition, the authors constructed the active hardware neural networks by analog CMOS circuits as a locomotion controlling system. Hardware neural networks consisted of pulse-type hardware neuron models as basic components. Pulse-type hardware neuron model has same basic features of biological neurons such as threshold, refractory period, spatio-temporal summation characteristics, and enables the generation of continuous action potentials. The hardware neural networks output the driving pulses using synchronization phenomena such as biological neural networks. Four output signal ports are extracted from hardware neural networks, and they are connected to the actuators. The driving pulses can operate the actuators of silicon micro-robot directly. Therefore, the hardware neural networks realize the robot control without using any software programs or A/D converters. The micro-robot emulates the locomotion method and the neural networks of an insect with rotary type actuators, link mechanisms, and hardware neural networks. The micro-robot performs forward and backward locomotion, and also changes direction by inputting an external trigger pulse. The locomotion speed was 26.4 mm/min when the step width was 0.88 mm.
带有神经网络的硅微型机器人
本章介绍了采用主动硬件神经网络的昆虫型4.0、2.7、2.5 mm宽、长、高尺寸硅微机器人系统。该微型机器人系统采用微电子机械系统(MEMS)技术制成硅片。机器人的机械系统配备了毫米级的回转式执行机构、连杆机构和六条腿,实现了类似昆虫的切换行为。此外,作者还利用模拟CMOS电路构建了有源硬件神经网络作为运动控制系统。硬件神经网络以脉冲型硬件神经元模型为基本组成部分。脉冲型硬件神经元模型具有与生物神经元相同的阈值、不应期、时空求和等基本特征,能够产生连续的动作电位。硬件神经网络利用生物神经网络等同步现象输出驱动脉冲。从硬件神经网络中提取4个输出信号端口,并与执行器相连。驱动脉冲可以直接驱动硅微机器人的执行器。因此,硬件神经网络无需任何软件程序或A/D转换器即可实现机器人的控制。微型机器人采用旋转式作动器、连杆机构和硬件神经网络模拟昆虫的运动方式和神经网络。微型机器人可以向前和向后移动,也可以通过输入外部触发脉冲来改变方向。当步宽为0.88 mm时,运动速度为26.4 mm/min。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Rapid Methods and Automation in Microbiology
Journal of Rapid Methods and Automation in Microbiology 生物-生物工程与应用微生物
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