Journal of Robotics, Networking and Artificial Life

Volume 4, Issue 1, June 2017, Pages 28 - 31

Hexapod Type MEMS Microrobot Equipped with an Artificial Neural Networks IC

Authors
Kazuki Sugita, Taisuke Tanaka, Yuya Nakata, Minami Takato, Ken Saito, Fumio Uchikoba
Corresponding Author
Kazuki Sugita
Available Online 1 June 2017.
DOI
10.2991/jrnal.2017.4.1.7How to use a DOI?
Keywords
Microrobot, MEMS, Artificial neural networks, SMA, Artificial muscle wire
Abstract

This paper proposes a hexapod type microrobot controlled by an artificial neural networks IC. The structural component of the microrobot is produced by micro electro mechanical systems (MEMS) process. The rotary actuator inside the robot is composed of the artificial muscle wire of shape memory alloy (SMA) material. The artificial neural networks IC includes cell body models, inhibitory synaptic models and current mirror circuits. By reducing the heat capacity of the actuator and the length of electrical wire to the actuator, the walking speed achieved 12 mm/min.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
4 - 1
Pages
28 - 31
Publication Date
2017/06/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2017.4.1.7How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Kazuki Sugita
AU  - Taisuke Tanaka
AU  - Yuya Nakata
AU  - Minami Takato
AU  - Ken Saito
AU  - Fumio Uchikoba
PY  - 2017
DA  - 2017/06/01
TI  - Hexapod Type MEMS Microrobot Equipped with an Artificial Neural Networks IC
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 28
EP  - 31
VL  - 4
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.1.7
DO  - 10.2991/jrnal.2017.4.1.7
ID  - Sugita2017
ER  -