TY - GEN
T1 - Design and development of a low power tactile multi-sensor network for robotic systems
AU - Cuellar, Francisco
AU - Yamamoto, Tomoyuki
AU - Ishiguro, Hiroshi
PY - 2014
Y1 - 2014
N2 - This paper describes the design, implementation and experimental results of a low power Tactile Multi-sensor Network for haptic and robotic applications. A whole-body tactile system will provide the robots with awareness of themselves, and a communication channel to translate dermal messages which could contain emotions. Robots with a sense of touch will have an advantage in alertness and responsiveness for future applications. The proposed Tactile System is composed of individual nodes capable of preprocessing information obtained from multiple sensors, with an embedded microcontroller. Thereby, the tactile information could be delivered to upper layers of supervision for higher cognitive processing. The haptic sensor network is biological inspired by the human tactile system which is able to detect vibration, temperature, contact and pressure. The preliminary experiments of the tactile system demonstrate its reliability, high efficiency in power consumption, wiring simplification, and easy manufacturability. These features will allow the multi-sensor network to be scaled to large number of sensors and nodes in order to cover large surfaces of robotic applications.
AB - This paper describes the design, implementation and experimental results of a low power Tactile Multi-sensor Network for haptic and robotic applications. A whole-body tactile system will provide the robots with awareness of themselves, and a communication channel to translate dermal messages which could contain emotions. Robots with a sense of touch will have an advantage in alertness and responsiveness for future applications. The proposed Tactile System is composed of individual nodes capable of preprocessing information obtained from multiple sensors, with an embedded microcontroller. Thereby, the tactile information could be delivered to upper layers of supervision for higher cognitive processing. The haptic sensor network is biological inspired by the human tactile system which is able to detect vibration, temperature, contact and pressure. The preliminary experiments of the tactile system demonstrate its reliability, high efficiency in power consumption, wiring simplification, and easy manufacturability. These features will allow the multi-sensor network to be scaled to large number of sensors and nodes in order to cover large surfaces of robotic applications.
UR - http://www.scopus.com/inward/record.url?scp=84906969218&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2014.6885718
DO - 10.1109/ICMA.2014.6885718
M3 - Conference contribution
AN - SCOPUS:84906969218
SN - 9781479939787
T3 - 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
SP - 331
EP - 336
BT - 2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
PB - IEEE Computer Society
T2 - 11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
Y2 - 3 August 2014 through 6 August 2014
ER -