首页> 外文期刊>Artificial life and robotics >Development of a pulse control-type MEMS microrobot with a hardware neural network
【24h】

Development of a pulse control-type MEMS microrobot with a hardware neural network

机译:具有硬件神经网络的脉冲控制型MEMS微型机器人的开发

获取原文
获取原文并翻译 | 示例
           

摘要

This article presents the micro-electro-mechanical systems (MEMS) microrobot which demonstrates locomo tion controlled by hardware neural networks (HNN). The size of the microrobot fabricated by the MEMS technology is 4×4×3.5 mm. The frame of the robot is made of silicon wafer, and it is equipped with a rotary-type actuator, a link mechanism, and six legs. The rotary-type actuator generates rotational movement by applying an electrical current to artificial muscle wires. The locomotion of the microrobot is obtained by the rotation of the rotary-type actuator. As in a living organism, the HNN realized robot control without using any software programs, A/D converters, or additional driving circuits. A central pattern generator (CPG) model was implemented as an HNN system to emulate the loco motion pattern. The MEMS microrobot emulated the loco motion method and the neural networks of an insect with the rotary-type actuator, the link mechanism, and the HNN. The microrobot performed forward and backward locomo tion, and also changed direction by inputting an external trigger pulse. The locomotion speed was 0.325 mm/s and the step width was 1.3 mm.
机译:本文介绍了微机电系统(MEMS)微型机器人,该机器人演示了由硬件神经网络(HNN)控制的机车。通过MEMS技术制造的微型机器人的尺寸为4×4×3.5mm。机器人的框架由硅片制成,并配备有旋转式致动器,连杆机构和六个支腿。旋转型致动器通过向人造肌线施加电流来产生旋转运动。微型机器人的运动是通过旋转式致动器的旋转获得的。与在生物体内一样,HNN无需使用任何软件程序,A / D转换器或其他驱动电路即可实现机器人控制。中央模式发生器(CPG)模型被实现为HNN系统,以模拟机车运动模式。 MEMS微型机器人通过旋转式致动器,连杆机构和HNN仿真了昆虫的运动方法和神经网络。微型机器人执行前进和后退定位,并通过输入外部触发脉冲来改变方向。运动速度为0.325mm / s,步距为1.3mm。

著录项

  • 来源
    《Artificial life and robotics》 |2011年第2期|p.229-233|共5页
  • 作者单位

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

    Department of Electronics and Science, College of Science and Technology, Nihon University, Chiba, Japan;

    Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi,Chiba, Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    microrobot; mems; hardware neural networks; pulse-type hardware neuron pair model; cpg model;

    机译:微型机器人记忆硬件神经网络;脉冲型硬件神经元对模型;cpg模型;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号