Neural Networks Integrated Circuit for Biomimetics MEMS Microrobot

Autor: Ken Saito, Kazuaki Maezumi, Yuka Naito, Tomohiro Hidaka, Kei Iwata, Yuki Okane, Hirozumi Oku, Minami Takato, Fumio Uchikoba
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Robotics, Vol 3, Iss 3, Pp 235-246 (2014)
Druh dokumentu: article
ISSN: 2218-6581
DOI: 10.3390/robotics3030235
Popis: 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.
Databáze: Directory of Open Access Journals