A tactile sensor network system using a multiple sensor platform with a dedicated CMOS-LSI for robot applications

Chenzhong Shao, Shuji Tanaka, Takahiro Nakayama, Yoshiyuki Hata, Travis Bartley, Yutaka Nonomura, Masanori Muroyama

研究成果: ジャーナルへの寄稿学術論文査読

18 被引用数 (Scopus)

抄録

Robot tactile sensation can enhance human–robot communication in terms of safety, reliability and accuracy. The final goal of our project is to widely cover a robot body with a large number of tactile sensors, which has significant advantages such as accurate object recognition, high sensitivity and high redundancy. In this study, we developed a multi-sensor system with dedicated Complementary Metal-Oxide-Semiconductor (CMOS) Large-Scale Integration (LSI) circuit chips (referred to as “sensor platform LSI”) as a framework of a serial bus-based tactile sensor network system. The sensor platform LSI supports three types of sensors: an on-chip temperature sensor, off-chip capacitive and resistive tactile sensors, and communicates with a relay node via a bus line. The multi-sensor system was first constructed on a printed circuit board to evaluate basic functions of the sensor platform LSI, such as capacitance-to-digital and resistance-to-digital conversion. Then, two kinds of external sensors, nine sensors in total, were connected to two sensor platform LSIs, and temperature, capacitive and resistive sensing data were acquired simultaneously. Moreover, we fabricated flexible printed circuit cables to demonstrate the multi-sensor system with 15 sensor platform LSIs operating simultaneously, which showed a more realistic implementation in robots. In conclusion, the multi-sensor system with up to 15 sensor platform LSIs on a bus line supporting temperature, capacitive and resistive sensing was successfully demonstrated.

本文言語英語
論文番号1974
ジャーナルSensors
17
9
DOI
出版ステータス出版済み - 2017 9月

フィンガープリント

「A tactile sensor network system using a multiple sensor platform with a dedicated CMOS-LSI for robot applications」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル