MEMS Microrobot Controlled by Mounted Neural Networks IC with Two Types Actuators

被引：0

作者：

Iwata, Kei ^{[1
]}

Oku, Hirozumi ^{[1
]}

Okane, Yuki ^{[1
]}

Asano, Yohei ^{[1
]}

Tatani, Masaki ^{[1
]}

Ishihara, Yuki ^{[1
]}

Sugita, Kazuki ^{[1
]}

Chiba, Satohiro ^{[2
]}

Ono, Satoko ^{[2
]}

Abe, Mizuki ^{[2
]}

Takato, Minami ^{[2
]}

Saito, Ken ^{[2
]}

Uchikoba, Fumio ^{[2
]}

机构：

[1] Nihon Univ, Coll Sci & Technol, Grad Sch Precis Machinery Engn, 7-24-1 Narashinodai, Funabashi, Chiba 2748501, Japan

[2] Nihon Univ, Coll Sci & Technol, Dept Precis Machinery Engn, Funabashi, Chiba 2748501, Japan

来源：

PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2016) | 2016年

关键词：

Microrobot; Artificial Neural network; MEMS; PZT; SMA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We report the hexapod microrobot controlled by the bare chip IC of hardware neural networks. MEMS technology is used for fabrication of the microrobot. Actuators of the robots are used lead zirconium titanate (PZT) and shape memory alloy (SMA). As the result, PZT type is realized the walking motion by bare chip IC. Moreover, SMA type can be succeeded the hexapod walking locomotion with mounted bare chip IC. The walking speed is 2.4mm / min and the step width was 0.083mm.

引用

页码：200 / 203

页数：4

共 37 条

[21] Comparison between two types of Artificial Neural Networks used for validation of pharmaceutical processes
Behzadi, Sharareh Salar
Prakasvudhisarn, Chakguy
Klocker, Johanna
Wolschann, Peter
Viernstein, Helmut
POWDER TECHNOLOGY, 2009, 195 (02) : 150 - 157
[22] Comparing two different types of deep neural networks to improve accuracy in ECG intepretation
Popa, Didi Liliana
Mocanu, Mihai Lucian
Popa, Radu-Teodoru
Barbulescu, Lucian-Florentin
Barbulescu, Linda-Nicoleta
2021 25TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2021, : 260 - 265
[23] Comparative study on two types of mode-sensitive neural networks for damage assessment
Gutierrez, JM
Ferregut, C
Osegueda, RA
NONDESTRUCTIVE EVALUATION OF UTILITIES AND PIPELINES, 1996, 2947 : 224 - 235
[24] Comparisons between two types of neural networks for manufacturing cost estimation of piping elements
Duran, Orlando
Maciel, Juan
Rodriguez, Nibaldo
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (09) : 7788 - 7795
[25] Two Dimensional Trajectory Generated by a Two-axial Piezoelectric Actuator Controlled by Neural Networks
Ohka, M.
Esumi, K.
Sawamoto, Y.
Matsukawa, S.
Miyaoka, T.
ACTUATOR 08, CONFERENCE PROCEEDINGS, 2008, : 196 - +
[26] NOVEL STABILITY CRITERIONS FOR TWO TYPES OF RECURRENT NEURAL NETWORKS WITH TIME-VARYING DELAYS
Luo, Wenguang
Liu, Yonghua
Xie, Guangming
Lan, Hongli
CONTROL AND INTELLIGENT SYSTEMS, 2014, 42 (03) : 191 - 200
[27] Recognition of unnatural patterns in process control charts through combining two types of neural networks
Ghomi, S. M. T. Fatemi
Lesany, S. A.
Koochakzadeh, A.
APPLIED SOFT COMPUTING, 2011, 11 (08) : 5444 - 5456
[28] Hierarchical Stability Conditions for Two Types of Time-Varying Delay Generalized Neural Networks
Zhai, Zhengliang
Yan, Huaicheng
Chen, Shiming
Hu, Xiao
Chang, Yufang
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (10) : 5832 - 5842
[29] Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities
Xiao, Lin
Zhang, Yunong
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2012, 59 (10) : 2363 - 2373
[30] Generation of various types of spatio-temporal phenomena in two-layer cellular neural networks
Yang, ZH
Nishio, Y
Ushida, A
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2004, E87A (04): : 864 - 871

← 1 2 3 4 →