TY - JOUR
T1 - A tactile sensor network system using a multiple sensor platform with a dedicated CMOS-LSI for robot applications
AU - Shao, Chenzhong
AU - Tanaka, Shuji
AU - Nakayama, Takahiro
AU - Hata, Yoshiyuki
AU - Bartley, Travis
AU - Nonomura, Yutaka
AU - Muroyama, Masanori
N1 - Funding Information:
Acknowledgments: The development of the sensor platform LSI itself was performed in the R&D Center of Excellence for Integrated Microsystems, Tohoku University under the program “Formation of Innovation Center for Fusion of Advanced Technologies” supported by Special Coordination Funds for Promoting Science and Technology in collaboration with the Toyota Motor Corporation (Aichi, Japan) and Toyota Central R&D Labs., Inc. (Aichi, Japan). Tohoku University and Meijo University supported, in part, with the experiments by using commercially available sensors, from the New Energy and Industrial Technology Development Organization (NEDO) (Kanagawa, Japan).
Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Multi-kind sensing
KW - Multi-point bus connection
KW - Next generation robot
KW - Sensor platform LSI
KW - Single-ended communication
KW - Tactile sensor network system
UR - http://www.scopus.com/inward/record.url?scp=85028693313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028693313&partnerID=8YFLogxK
U2 - 10.3390/s17091974
DO - 10.3390/s17091974
M3 - Article
C2 - 29061954
AN - SCOPUS:85028693313
SN - 1424-8220
VL - 17
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 9
M1 - 1974
ER -