Large‐Area Piezoresistive Tactile Sensor Developed by Training a Super‐Simple Single‐Layer Carbon Nanotube‐Dispersed Polydimethylsiloxane Pad

Cho, Min-Young; Lee, Jin Woong; Park, Chaewon; Lee, Byung‐Do; Kyeong, Joon Seok; Park, Eun Jeong; Lee, Kee Yang; Sohn, Kee‐Sun

doi:10.1002/aisy.202100123

Cited by 8 publications

(4 citation statements)

References 82 publications

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“…Therefore, it is necessary to develop an auxiliary interface to achieve accurate and controllable 3D human–machine interaction, in which a good choice is the flexible wearable tactile sensing interface that can be directly attached to the human arm. The reported tactile sensors are mainly based on the physical sensing principles of piezoresistance, − piezoelectricity, − capacitance, − and waveguides. − A tactile sensor array can convert an external force stimulation into measurable electrical signals and map them to corresponding sensing units. For example, Wang et al developed a triboelectric sensor array based on graphene for self-powered tactile sensing .…”

Section: Introductionmentioning

confidence: 99%

Electrooculography and Tactile Perception Collaborative Interface for 3D Human–Machine Interaction

Chang

et al. 2022

ACS Nano

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The human–machine interface (HMI) previously relied on a single perception interface that cannot realize three-dimensional (3D) interaction and convenient and accurate interaction in multiple scenes. Here, we propose a collaborative interface including electrooculography (EOG) and tactile perception for fast and accurate 3D human–machine interaction. The EOG signals are mainly used for fast, convenient, and contactless 2D (XY-axis) interaction, and the tactile sensing interface is mainly utilized for complex 2D movement control and Z-axis control in the 3D interaction. The honeycomb graphene electrodes for the EOG signal acquisition and tactile sensing array are prepared by a laser-induced process. Two pairs of ultrathin and breathable honeycomb graphene electrodes are attached around the eyes for monitoring nine different eye movements. A machine learning algorithm is designed to train and classify the nine different eye movements with an average prediction accuracy of 92.6%. Furthermore, an ultrathin (90 μm), stretchable (∼1000%), and flexible tactile sensing interface assembled by a pair of 4 × 4 planar electrode arrays is attached to the arm for 2D movement control and Z-axis interaction, which can realize single-point, multipoint and sliding touch functions. Consequently, the tactile sensing interface can achieve eight directions control and even more complex movement trajectory control. Meanwhile, the flexible and ultrathin tactile sensor exhibits an ultrahigh sensitivity of 1.428 kPa–1 in the pressure range 0–300 Pa with long-term response stability and repeatability. Therefore, the collaboration between EOG and the tactile perception interface will play an important role in rapid and accurate 3D human–machine interaction.

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Section: Introductionmentioning

confidence: 99%

Electrooculography and Tactile Perception Collaborative Interface for 3D Human–Machine Interaction

Chang

et al. 2022

ACS Nano

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“…The robustness of the feature extraction methods is not tested in various in-field conditions, where there can be large variances in the temperature, humidity, and lighting conditions, and uncertainties, which can significantly influence the tactile measurements. Electronic-based tactile sensors (e.g., capacitive [217] and piezoresistive [218]) have higher sampling rates and are more suitable for real-time robot control but can be occasionally limited to measuring forces only in one direction [219]. Visual-based tactile sensors provide rich information about the contact state for robot control [66,179,220,221] but suffer from low sampling frequency.…”

Section: Controller Featuresmentioning

confidence: 99%

Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation

Mandil,

Rajendran,

Nazari

et al. 2023

Sensors

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Tactile sensing plays a pivotal role in achieving precise physical manipulation tasks and extracting vital physical features. This comprehensive review paper presents an in-depth overview of the growing research on tactile-sensing technologies, encompassing state-of-the-art techniques, future prospects, and current limitations. The paper focuses on tactile hardware, algorithmic complexities, and the distinct features offered by each sensor. This paper has a special emphasis on agri-food manipulation and relevant tactile-sensing technologies. It highlights key areas in agri-food manipulation, including robotic harvesting, food item manipulation, and feature evaluation, such as fruit ripeness assessment, along with the emerging field of kitchen robotics. Through this interdisciplinary exploration, we aim to inspire researchers, engineers, and practitioners to harness the power of tactile-sensing technology for transformative advancements in agri-food robotics. By providing a comprehensive understanding of the current landscape and future prospects, this review paper serves as a valuable resource for driving progress in the field of tactile sensing and its application in agri-food systems.

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“…A crude CNT-dispersed PDMS pad, with a bias, was applied to the center, and the resultant piezoresistive current detected at several electrodes located on the pad edge was developed. The hold-out dataset test accuracy for the indented location identification reached 98.89% [ 74 ]. PDMS material is very appropriate to use to form a large-area tactile sensor substrate that allows instant detection of an embossed or force-applied location, and pressure therein.…”

Section: Conducting Polymers As a Charge Transfer Base For Tactile Se...mentioning

confidence: 99%

Conducting Polymers for the Design of Tactile Sensors

et al. 2022

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This paper provides an overview of the application of conducting polymers (CPs) used in the design of tactile sensors. While conducting polymers can be used as a base in a variety of forms, such as films, particles, matrices, and fillers, the CPs generally remain the same. This paper, first, discusses the chemical and physical properties of conducting polymers. Next, it discusses how these polymers might be involved in the conversion of mechanical effects (such as pressure, force, tension, mass, displacement, deformation, torque, crack, creep, and others) into a change in electrical resistance through a charge transfer mechanism for tactile sensing. Polypyrrole, polyaniline, poly(3,4-ethylenedioxythiophene), polydimethylsiloxane, and polyacetylene, as well as application examples of conducting polymers in tactile sensors, are overviewed. Attention is paid to the additives used in tactile sensor development, together with conducting polymers. There is a long list of additives and composites, used for different purposes, namely: cotton, polyurethane, PDMS, fabric, Ecoflex, Velostat, MXenes, and different forms of carbon such as graphene, MWCNT, etc. Some design aspects of the tactile sensor are highlighted. The charge transfer and operation principles of tactile sensors are discussed. Finally, some methods which have been applied for the design of sensors based on conductive polymers, are reviewed and discussed.

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Large‐Area Piezoresistive Tactile Sensor Developed by Training a Super‐Simple Single‐Layer Carbon Nanotube‐Dispersed Polydimethylsiloxane Pad

Cited by 8 publications

References 82 publications

Electrooculography and Tactile Perception Collaborative Interface for 3D Human–Machine Interaction

Electrooculography and Tactile Perception Collaborative Interface for 3D Human–Machine Interaction

Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation

Conducting Polymers for the Design of Tactile Sensors

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