Recent Progress in Flexible Tactile Sensors for Human‐Interactive Systems: From Sensors to Advanced Applications (Adv. Mater. 47/2021)

Pyo, Soonjae; Lee, Jae Yong; Bae, Kyubin; Sim, Sangjun; Kim, Jongbaeg

doi:10.1002/adma.202170373

Cited by 71 publications

(66 citation statements)

References 0 publications

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“…To overcome the obstacles, building microstructures in dielectrics [ 31,32 ] or electrodes [ 33–35 ] have been proved to be an effective approach and have been successfully validated in various topographical microstructures including the artificial micropyramid, [ 36,37 ] microwrinkles, [ 38 ] microdomes, [ 39 ] and micropillars [ 40,41 ] as well as other structures directly molded from bionic patterns on the morphological surfaces of leave and flower petals. [ 42,43 ] However, limitations still exists: 1) due to the easily saturated effective contacting area, the microstructures reported are only effective for a low pressure detection range (typically less than 10 kPa); [ 44–46 ] 2) the fabrication of such artificial microstructures requires the use of high precise but expensive equipment (e.g., lithography machine) and complicated processes; [ 47 ] 3) the preparation of such bionic microstructures lacks uniformity within one single device and among different devices. [ 2 ] Therefore, a facile and efficient fabrication strategy of constructing microstructures in key components of tactile sensors to obtain enhanced sensing performance is still highly desired.…”

Section: Introductionmentioning

confidence: 99%

Flexible Pseudocapacitive Iontronic Tactile Sensor Based on Microsphere‐Decorated Electrode and Microporous Polymer Electrolyte for Ultrasensitive Pressure Detection

Wang

et al. 2022

Adv Elect Materials

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Wearable sensor as the initial terminal is in great requirement for people pursuing healthy life. High‐performance tactile sensors are the guarantee of accurate pressure information acquisition. Herein, a flexible iontronic tactile sensor is developed by utilizing a highly conductive poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) thin film decorated with polymethyl methacrylate microspheres as pseudocapacitive electrode and a porous polyurethane foam composited with Na+/Cl− ion‐enriched polyvinyl alcohol gel as polymer electrolyte through a facile method of solution‐casting followed by freeze‐drying. By taking advantages of both high pseudocapacitance and rationally designed microstructures, the developed tactile sensor shows an ultrahigh sensitivity (≈162.90 kPa−1), a broad detection range (≈160 kPa), a low detection limit (≈30 Pa), a fast response time (≈25 ms), and excellent repeatability and durability. Thanks to the ultrahigh sensitivity, the sensor is capable of detecting subtle pressures caused by dynamic micromotions such as touching a sandpaper surface, dropping water droplets, and adding water into a beaker. Application of a smart glove mounted with such sensor unit and array for a fast and accurate Braille recognition is also demonstrated. The proposed facile and efficient strategy of fabricating flexible ultrasensitive tactile sensors will be favorable to various wearable subtle pressure sensing applications.

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Section: Introductionmentioning

confidence: 99%

Flexible Pseudocapacitive Iontronic Tactile Sensor Based on Microsphere‐Decorated Electrode and Microporous Polymer Electrolyte for Ultrasensitive Pressure Detection

Wang

et al. 2022

Adv Elect Materials

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“…[ 8 ] This imposes higher requirements on large‐area bionic skins, signal processing techniques, as well as decision‐making strategies. [ 9,10 ] However, deploying bionic skins onto a large‐area surface of the robot is challenging due to the calibrations of numerous sensor units and the lack of algorithm–sensor co‐design for intelligent tactile sensing. [ 11 ]…”

Section: Introductionmentioning

confidence: 99%

“…[8] This imposes higher requirements on large-area bionic skins, signal processing techniques, as well as decision-making strategies. [9,10] However, deploying bionic skins onto a large-area surface of the robot is challenging due to the calibrations of numerous sensor units and the lack of algorithm-sensor co-design for intelligent tactile sensing. [11] To bridge the gap between single-unit sensing and large-area sensing, significant efforts have been devoted to developing array-type bionic sensors, with sensing mechanisms ranging from capacitance, [12,13] and piezoresistance, [14] to optics, [15] and magnetism.…”

Section: Introductionmentioning

confidence: 99%

Bioinspired Co‐Design of Tactile Sensor and Deep Learning Algorithm for Human–Robot Interaction

Kong

Yang

Pang

et al. 2022

Advanced Intelligent Systems

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Robots equipped with bionic skins for enhancing the robot perception capability are increasingly deployed in wide applications ranging from healthcare to industry. Artificial intelligence algorithms that can provide bionic skins with efficient signal processing functions further accelerate the development of this trend. Inspired by the somatosensory processing hierarchy of humans, the bioinspired co‐design of a tactile sensor and a deep learning‐based algorithm is proposed herein, simplifying the sensor structure while providing computation‐enhanced tactile sensing performance. The soft piezoresistive sensor, based on the carbon black‐coated polyurethane sponge, offers a continuous sensing area. By utilizing a customized deep neural network (DNN), it can detect external tactile stimulus spatially continuously. Besides, a novel data augmentation method is developed based on the sensor's hexagonal structure that has a sixfold rotation symmetry. It can significantly enhance the generalization ability of the DNN model by enriching the collected training data with generated pseudo‐data. The functionality of the sensor and the robustness of the proposed data augmentation strategy are verified by precisely recognizing five touch modalities, illustrating a well‐generalized performance, and providing a promising application prospect in human–robot interaction.

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“…Pressure sensors are based on various operating principles, such as resistance change, piezoelectricity, and capacitance change. [ 20 ] Piezoelectric pressure sensors are particularly useful for detecting dynamic grasping signals with minimal response delay. [ 21,22 ] Table S1 (Supporting Information) compares the characteristics of various pressure sensors.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Soft Pressure Sensor in Terms of the Molecular Weight of the Ferroelectric‐Polymer Sensing Layer

Watanabe

Sekine

Miura

et al. 2022

Adv Funct Materials

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Tactile sensing is considered essential for effective object handling by robots. To this end, flexible smart materials are being extensively researched for application as soft pressure sensors. This paper proposes a soft pressure sensor featuring a ferroelectric-polymer sensing layer for dynamic pressure detection during robotic grasping operations. The solution-processed sensing layer is optimized in terms of the molecular weight of the ferroelectric polymer and the processing solvent. The proposed sensor exhibits high sensitivity to pressure with minimal response delay. Furthermore, these sensors successfully sensitize a robotic hand, enabling the real-time detection of pressure signals during object handling, thus demonstrating the potential of the proposed sensor for novel robotic interface applications such as biomimetic electronic skin.

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Recent Progress in Flexible Tactile Sensors for Human‐Interactive Systems: From Sensors to Advanced Applications (Adv. Mater. 47/2021)

Cited by 71 publications

References 0 publications

Flexible Pseudocapacitive Iontronic Tactile Sensor Based on Microsphere‐Decorated Electrode and Microporous Polymer Electrolyte for Ultrasensitive Pressure Detection

Flexible Pseudocapacitive Iontronic Tactile Sensor Based on Microsphere‐Decorated Electrode and Microporous Polymer Electrolyte for Ultrasensitive Pressure Detection

Bioinspired Co‐Design of Tactile Sensor and Deep Learning Algorithm for Human–Robot Interaction

Optimization of a Soft Pressure Sensor in Terms of the Molecular Weight of the Ferroelectric‐Polymer Sensing Layer

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