TY - JOUR
T1 - Flexible Multifunctional Sensor for Robotic Perception
T2 - Integrating Material Recognition and Tactile Sensing
AU - Wang, Zuowei
AU - Zhang, Fuzheng
AU - Lin, Qijing
AU - Yang, Haolin
AU - Wang, Chenying
AU - Tian, Bian
AU - Zhao, Libo
AU - Maeda, Ryutaro
AU - Hanein, Yael
AU - Jiang, Zhuangde
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - Flexible and compact sensors for collecting essential information from the environment are showing growing importance in robotic perception. In particular, flexible, multimodal, and low-form-factor sensors are among the major needs. In this article, a new sensor based on flexible printed circuits and flexible pressure-sensitive material was fabricated and characterized. To minimize fabrication complexity and improve reliability, the presented sensor builds on an established technology and a simple fabrication process. A layered device that can measure temperature, pressure, and surface material relative permittivity was designed, modeled, and tested. With a response time of 0.3 s, the sensor has high linearity in temperature measurement in the range of-30 °C to 120 °C. The sensor maintained its structural integrity and functional performance after undergoing a cumulative 10 h of exposure at 120 °C, demonstrating its resilience to harsh environments. In pressure measurement, the sensor monitors pressure from 0 to 65 kPa with a response time of 0.01 s, even after being overloaded approximately 50 times above the measuring range. In addition to tactile sensing, the sensor is integrated with the material recognition function based on relative permittivity measurement. This integration allows robots to recognize materials with relative permittivity between 1 and 9.3. Such functionality not only improves the adaptability of robots in various environments but also significantly augments their operational intelligence by providing crucial information about object materials, which is essential for complex task executions. Finally, the sensor was installed on a robotic gripper to simultaneously measure temperature, pressure, and material relative permittivity of surfaces. The flexible and lightweight sensor with its easy integration into robotic manipulators is promising for applications in intelligent sorting, smart factories, and intelligent prosthetics.
AB - Flexible and compact sensors for collecting essential information from the environment are showing growing importance in robotic perception. In particular, flexible, multimodal, and low-form-factor sensors are among the major needs. In this article, a new sensor based on flexible printed circuits and flexible pressure-sensitive material was fabricated and characterized. To minimize fabrication complexity and improve reliability, the presented sensor builds on an established technology and a simple fabrication process. A layered device that can measure temperature, pressure, and surface material relative permittivity was designed, modeled, and tested. With a response time of 0.3 s, the sensor has high linearity in temperature measurement in the range of-30 °C to 120 °C. The sensor maintained its structural integrity and functional performance after undergoing a cumulative 10 h of exposure at 120 °C, demonstrating its resilience to harsh environments. In pressure measurement, the sensor monitors pressure from 0 to 65 kPa with a response time of 0.01 s, even after being overloaded approximately 50 times above the measuring range. In addition to tactile sensing, the sensor is integrated with the material recognition function based on relative permittivity measurement. This integration allows robots to recognize materials with relative permittivity between 1 and 9.3. Such functionality not only improves the adaptability of robots in various environments but also significantly augments their operational intelligence by providing crucial information about object materials, which is essential for complex task executions. Finally, the sensor was installed on a robotic gripper to simultaneously measure temperature, pressure, and material relative permittivity of surfaces. The flexible and lightweight sensor with its easy integration into robotic manipulators is promising for applications in intelligent sorting, smart factories, and intelligent prosthetics.
KW - Multisensory integration
KW - permittivity measurement
KW - pressure sensors
KW - robotics
KW - temperature sensors
UR - http://www.scopus.com/inward/record.url?scp=85196502803&partnerID=8YFLogxK
U2 - 10.1109/TIM.2024.3413169
DO - 10.1109/TIM.2024.3413169
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AN - SCOPUS:85196502803
SN - 0018-9456
VL - 73
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 9511508
ER -