Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot

In this paper, we will propose the neural networks integrated circuit (NNIC) which is the driving waveform generator of the 4.0, 2.7, 2.5 mm, width, length, height in size biomimetics microelectromechanical systems (MEMS) microrobot. The microrobot was made from silicon wafer fabricated by micro fab...

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Main Authors: Ken Saito, Kazuaki Maezumi, Yuka Naito, Tomohiro Hidaka, Kei Iwata, Yuki Okane, Hirozumi Oku, Minami Takato, Fumio Uchikoba
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:Robotics
Subjects:
Online Access:http://www.mdpi.com/2218-6581/3/3/235
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author Ken Saito
Kazuaki Maezumi
Yuka Naito
Tomohiro Hidaka
Kei Iwata
Yuki Okane
Hirozumi Oku
Minami Takato
Fumio Uchikoba
author_facet Ken Saito
Kazuaki Maezumi
Yuka Naito
Tomohiro Hidaka
Kei Iwata
Yuki Okane
Hirozumi Oku
Minami Takato
Fumio Uchikoba
author_sort Ken Saito
collection DOAJ
description In this paper, we will propose the neural networks integrated circuit (NNIC) which is the driving waveform generator of the 4.0, 2.7, 2.5 mm, width, length, height in size biomimetics microelectromechanical systems (MEMS) microrobot. The microrobot was made from silicon wafer fabricated by micro fabrication technology. The mechanical system of the robot was equipped with small size rotary type actuators, link mechanisms and six legs to realize the ant-like switching behavior. The NNIC generates the driving waveform using synchronization phenomena such as biological neural networks. The driving waveform can operate the actuators of the MEMS microrobot directly. Therefore, the NNIC bare chip realizes the robot control without using any software programs or A/D converters. The microrobot performed forward and backward locomotion, and also changes direction by inputting an external single trigger pulse. The locomotion speed of the microrobot was 26.4 mm/min when the step width was 0.88 mm. The power consumption of the system was 250 mWh when the room temperature was 298 K.
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spelling doaj.art-fe683e532db34acc84f167cd7eff59472022-12-22T02:18:09ZengMDPI AGRobotics2218-65812014-06-013323524610.3390/robotics3030235robotics3030235Neural Networks Integrated Circuit for Biomimetics MEMS MicrorobotKen Saito0Kazuaki Maezumi1Yuka Naito2Tomohiro Hidaka3Kei Iwata4Yuki Okane5Hirozumi Oku6Minami Takato7Fumio Uchikoba8Department of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi-shi, Chiba 274-8501, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanPrecision Machinery Engineering, Graduate School of Science and Technology, Nihon University, 1-8-14 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8308, JapanDepartment of Precision Machinery Engineering, College of Science and Technology, Nihon University, 7-24-1 Narashinodai, Funabashi-shi, Chiba 274-8501, JapanIn this paper, we will propose the neural networks integrated circuit (NNIC) which is the driving waveform generator of the 4.0, 2.7, 2.5 mm, width, length, height in size biomimetics microelectromechanical systems (MEMS) microrobot. The microrobot was made from silicon wafer fabricated by micro fabrication technology. The mechanical system of the robot was equipped with small size rotary type actuators, link mechanisms and six legs to realize the ant-like switching behavior. The NNIC generates the driving waveform using synchronization phenomena such as biological neural networks. The driving waveform can operate the actuators of the MEMS microrobot directly. Therefore, the NNIC bare chip realizes the robot control without using any software programs or A/D converters. The microrobot performed forward and backward locomotion, and also changes direction by inputting an external single trigger pulse. The locomotion speed of the microrobot was 26.4 mm/min when the step width was 0.88 mm. The power consumption of the system was 250 mWh when the room temperature was 298 K.http://www.mdpi.com/2218-6581/3/3/235biomimeticsMEMSmicrorobotintegrated circuitneural networks
spellingShingle Ken Saito
Kazuaki Maezumi
Yuka Naito
Tomohiro Hidaka
Kei Iwata
Yuki Okane
Hirozumi Oku
Minami Takato
Fumio Uchikoba
Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
Robotics
biomimetics
MEMS
microrobot
integrated circuit
neural networks
title Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
title_full Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
title_fullStr Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
title_full_unstemmed Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
title_short Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot
title_sort neural networks integrated circuit for biomimetics mems microrobot
topic biomimetics
MEMS
microrobot
integrated circuit
neural networks
url http://www.mdpi.com/2218-6581/3/3/235
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