A novel flexible tactile sensor based on Ce-doped BaTiO<sub>3</sub> nanofibers

Zhuang, Yongyong; Wang, Chao; Fu, Xin; Li, Fēi; Li, Jinglei; Liao, Zhipeng; Liu, Weihua

doi:10.1088/1361-6641/aa6d4b

Cited by 11 publications

(4 citation statements)

References 28 publications

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“…Human beings mainly perceive surface texture by detecting an interacting vibration induced by the roughness of the object being touched on the skin through FA mechanoreceptors (Pacinian and Meissner) in the skin that are sensitively triggered by dynamical pressure or vibration, although SA1 afferents, which densely innervate the fingertip skin, respond strongly to coarse textures by spatial patterns of activation across its population but only weakly . Piezoelectric materials have been proposed as sensors for recognizing textures with vibration-sensitive characteristics because of a change in magnitude or in the number of dipoles at the molecular level by introducing certain compounds such as ZnO and BaTiO 3 , and organic materials such as polyvinylidene fluoride (PVDF). − Moreover, their output signals are very similar to neural action potential signals for FA mechanoreceptors. However, they are limited for applications as skin-mimicking sensors because of restricted material versatility.…”

mentioning

confidence: 99%

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

et al. 2019

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Finger skin electronics are essential for realizing humanoid soft robots and/or medical applications that are very similar to human appendages. A selective sensitivity to pressure and vibration that are indispensable for tactile sensing is highly desirable for mimicking sensory mechanoreceptors in skin. Additionally, for a human−machine interaction, output signals of a skin sensor should be highly correlated to human neural spike signals. As a demonstration of fully mimicking the skin of a human finger, we propose a self-powered flexible neural tactile sensor (NTS) that mimics all the functions of human finger skin and that is selectively and sensitively activated by either pressure or vibration stimuli with laminated independent sensor elements. A sensor array of ultrahigh-density pressure (20 × 20 pixels on 4 cm 2 ) of interlocked percolative graphene films is fabricated to detect pressure and its distribution by mimicking slow adaptive (SA) mechanoreceptors in human skin. A triboelectric nanogenerator (TENG) was laminated on the sensor array to detect high-frequency vibrations like fast adaptive (FA) mechanoreceptors, as well as produce electric power by itself. Importantly, each output signal for the SA-and FAmimicking sensors was very similar to real neural spike signals produced by SA and FA mechanoreceptors in human skin, thus making it easy to convert the sensor signals into neural signals that can be perceived by humans. By introducing microline patterns on the top surface of the NTS to mimic structural and functional properties of a human fingerprint, the integrated NTS device was capable of classifying 12 fabrics possessing complex patterns with 99.1% classification accuracy.

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confidence: 99%

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

et al. 2019

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“…These two factors synergistically increased the piezoelectric coefficients (285-290 pCcm −2 ) of BaTi (1−x) Zr x O 3 (0.02 ≤ x ≤0.08) hybrid piezoelectric materials [134]. In 2017, Zhuang et al fabricated a flexible tactile sensor based on Ce-doped BaTiO 3 nanofibers and analyzed the doping mechanism and working process [135]. In addition, a nanocomposite film force sensor based on La modified PZT/paint was developed with brushing technique [136], which exhibited high performance with the output voltage of 51.7 mV and power of 0.38 µW when working in the -31-piezoelectric mode (Figure 6b).…”

Section: Adding Dopants To Improve the Performance Of Piezoelectric Sensorsmentioning

confidence: 99%

Innovation Strategy Selection Facilitates High-Performance Flexible Piezoelectric Sensors

Duan

Xia

et al. 2020

Sensors

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Piezoelectric sensors with high performance and low-to-zero power consumption meet the growing demand in the flexible microelectronic system with small size and low power consumption, which are promising in robotics and prosthetics, wearable devices and electronic skin. In this review, the development process, application scenarios and typical cases are discussed. In addition, several strategies to improve the performance of piezoelectric sensors are summed up: (1) material innovation: from piezoelectric semiconductor materials, inorganic piezoceramic materials, organic piezoelectric polymer, nanocomposite materials, to emerging and promising molecular ferroelectric materials. (2) designing microstructures on the surface of the piezoelectric materials to enlarge the contact area of piezoelectric materials under the applied force. (3) addition of dopants such as chemical elements and graphene in conventional piezoelectric materials. (4) developing piezoelectric transistors based on piezotronic effect. In addition, the principle, advantages, disadvantages and challenges of every strategy are discussed. Apart from that, the prospects and directions of piezoelectric sensors are predicted. In the future, the electronic sensors need to be embedded in the microelectronic systems to play the full part. Therefore, a strategy based on peripheral circuits to improve the performance of piezoelectric sensors is proposed in the final part of this review.

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“…Array tactile sensors are mostly designed and manufactured based on MEMS. According to different sensing mechanisms, array tactile sensors mainly include piezoresistive (Park et al , 2012; Gong et al , 2015; Qin et al , 2015), capacitive (Lipomi et al , 2011; Hu et al , 2013; Maiolino et al , 2013) and piezoelectric (Song et al , 2014; Tsai et al , 2017; Zhuang et al , 2017). There is a lot of research about the array tactile sensors.…”

Section: Introductionmentioning

confidence: 99%

A non-array customizable tactile sensor based on spraying process

Wang²,

Yang³

et al. 2022

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Purpose The tactile sensor with array structure normally has the defects of existing nondetection zone, complex and nonstretchable structure. It is difficult to seamlessly attach to the surface of the robot. For this reason, this paper proposes a method to prepare nonarray structure tactile sensor directly on the surface of the robot by spraying process. Design/methodology/approach Based on the principle of gradient potential distribution, the potential fields are constructed in two different directions over the conductive film in time-sharing. The potentials at touching position in the two directions are detected to determine the coordinate of the touching point. The designed tactile sensor based on this principle consists of only three layers. Its bottom layer is designed as a weak conductive film made of graphite coating and used to construct the potential field. It can be sprayed either on PET substrate or directly on robot surface. Findings The radial basis function neural network is used for remodeling the potential distribution, which can effectively solve the problem of nonlinear potential distribution caused by irregular sensor shape, and uneven conductivity at different points of the spraying coating. The simulation and experimental results show that the principle of the proposed tactile sensor used for touching position detection is feasible to be applied to complex surfaces of the robot. Originality/value This paper proposed a nonarray customizable tactile sensor based on the spraying process. The sensor has a simple structure, and only five lead wires are needed to realize the coordinate detection of the touch position.

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A novel flexible tactile sensor based on Ce-doped BaTiO₃ nanofibers

Cited by 11 publications

References 28 publications

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

Innovation Strategy Selection Facilitates High-Performance Flexible Piezoelectric Sensors

A non-array customizable tactile sensor based on spraying process

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A novel flexible tactile sensor based on Ce-doped BaTiO3 nanofibers

Cited by 11 publications

References 28 publications

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

Self-Powered Pressure- and Vibration-Sensitive Tactile Sensors for Learning Technique-Based Neural Finger Skin

Innovation Strategy Selection Facilitates High-Performance Flexible Piezoelectric Sensors

A non-array customizable tactile sensor based on spraying process

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A novel flexible tactile sensor based on Ce-doped BaTiO₃ nanofibers