All-Fabric Tactile Sensors Based on Sandwich Structure Design with Tunable Responsiveness

Su, Ziyi; Xu, Duo; Liu, Yingcun; Gao, Chong; Ge, Can; Chen, Ze; Liu, Keshuai; Xu, Weilin; Su, Bin; Fang, J.

doi:10.1021/acsami.3c05775

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…Inspired by human skin, more and more researchers are working to prepare flexible tactile arrays with skin-like functionality to meet the needs of robotic mechanical claw grip state sensing − and have achieved perception capabilities far beyond skin. − Over the past decade, tactile array sensors have been extensively developed by utilizing different sensing mechanisms, such as resistive-, − capacitive-, − and piezoelectric-type mechanisms. − Among them, piezoresistive tactile sensors have become a focus of research due to their high load capacity, low mass production cost, low noise, and high tactile sensitivity. − Recently, advances in various functional materials, − structural designs, ,− fabrication methods, − and signal processing technologies − have further accelerated the development of tactile array sensors, which now enable pressure detection beyond the limits of the skin and ultrawide pressure monitoring ranges. However, some inherent characteristics of array-type tactile sensors limit their application in practical applications.…”

Section: Introductionmentioning

confidence: 99%

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

Zhang,

Zhao,

Zhai

et al. 2024

ACS Appl. Mater. Interfaces

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Industrial robots are the main piece of equipment of intelligent manufacturing, and array-type tactile sensors are considered to be the core devices for their active sensing and understanding of the production environment. A great challenge for existing array-type tactile sensors is the wiring of sensing units in a limited area, the contradiction between a small number of sensing units and high resolution, and the deviation of the overall output pattern due to the difference in the performance of each sensing unit itself. Inspired by the human somatosensory processing hierarchy, we combine tactile sensors with artificial intelligence algorithms to simplify the sensor architecture while achieving tactile resolution capabilities far greater than the number of signal channels. The prepared 8-electrode carbon-based conductive network achieves high-precision identification of 32 regions with 97% classification accuracy assisted by a quadratic discriminant analysis algorithm. Notably, the output of the sensor remains unchanged after 13,000 cycles at 60 kPa, indicating its excellent durability performance. Moreover, the large-area skin-like continuous conductive network is simple to fabricate, cost-effective, and can be easily scaled up/down depending on the application. This work may address the increasing need for simple fabrication, rapid integration, and adaptable geometry tactile sensors for use in industrial robots.

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Section: Introductionmentioning

confidence: 99%

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

Zhang,

Zhao,

Zhai

et al. 2024

ACS Appl. Mater. Interfaces

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“…The sensitivity of this sensor reaches 0.76 kPa –1 in the range of 0–1 kPa, and the maximum detection range is only around 30 kPa. Su et al proposed the design of a full fabric tactile sensor based on a responsive adjustable sandwich structure. They further balanced the sensitivity and sensing range of the sensor by selecting the stacking of multilayer structures.…”

Section: Introductionmentioning

confidence: 99%

A Flexible Capacitive Pressure Sensor with Adjustable Detection Range Based on the Inflatable Dielectric Layer for Human–Computer Interaction

Li,

Chen,

Zhang

et al. 2024

ACS Appl. Mater. Interfaces

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As an essential component in wearable electronic devices and intelligent robots, flexible pressure sensors have enormous application value in fields such as healthcare, human−computer interaction, and intelligent perception. However, due to the complex and ever-changing pressure loads borne by sensors in different application scenarios, this also puts great demands on the flexible response and adjustment ability of a sensor's detection range. Therefore, developing a flexible pressure sensor with a wide and adjustable detection range, which can be applied flexibly under different pressure loads, is also a major challenge in current research. In this paper, we propose a flexible pressure sensor with a wide and adjustable detection range based on an inflatable adjustable safety airbag as the dielectric layer. This sensor uses inflatable airbags prepared using 3D printing technology and silicone reverse molding technology as the dielectric layer and achieves high sensitivity (0.6 kPa −1 to 1.19 kPa −1 ), wide detection range (220−1500 kPa), and flexible performance applicability by adjusting the air pressure inside the dielectric layer. At the same time, its simple production process, convenient production, fast response time (100 ms), and good stability provide the possibility for the flexible application of sensors in different pressure detection. The experimental results indicate that the sensor has enormous potential for applications in wearable devices, healthcare, human−computer interaction, and intelligent perception recognition.

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“…Therefore, accurately identifying the elastomer deformation is a key issue for understanding the contact state in soft touch. [ 18–27 ]…”

Section: Introductionmentioning

confidence: 99%

Monitoring Soft Shape Surface Deformation via Optical Images for the Distinction of Contact State

Zou,

Li,

Zhou

et al. 2023

Advanced Intelligent Systems

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The deformability of elastomer surfaces offers the opportunity to capture multimodal physical information, which opens up possibilities for applications in intelligent interactive systems and flexible electronics. Accurately identifying the surface deformation of elastomers has been a key issue for understanding the contact state in a soft touch. However, effective monitoring of the deformed surface topography during soft‐touch processes is difficult due to the complexity of interfacial deformation. Herein, the optical detection method based on an ideal diffuse reflection model is proposed to monitor the deformation of the elastomer, enabling the acquisition of a spatially continuous deformation of the surface in a soft touch. This optical system with the parallel incident light can distinguish the elastomers’ surface deformation field by constructing the correlation between the reflected light irradiance and the surface deformation angle. This method allows for the perception of the contact area. Through the deep learning method, the recognition rate can reach more than 84.24% when there are slight differences in the contact of objects with different geometric shapes. The design offers valuable insights for contact state detection tasks and facilitates soft‐touch sensing functions through the high precision of optical signal acquisition.

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All-Fabric Tactile Sensors Based on Sandwich Structure Design with Tunable Responsiveness

Cited by 8 publications

References 37 publications

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception

A Flexible Capacitive Pressure Sensor with Adjustable Detection Range Based on the Inflatable Dielectric Layer for Human–Computer Interaction

Monitoring Soft Shape Surface Deformation via Optical Images for the Distinction of Contact State

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