Innovations in Tactile Sensing: Microstructural Designs for Superior Flexible Sensor Performance

Advanced Functional Materials, Год журнала: 2024, Номер 34(44)

Опубликована: Июнь 22, 2024

Abstract Tactile sensors have garnered considerable interest for their capacity to detect and quantify tactile information. The incorporation of microstructural designs into flexible has emerged as a potent strategy augment sensitivity pressure variations, thereby enhancing linearity, response spectrum, mechanical robustness. This review underscores the imperative progress in microstructured sensors. Subsequently, discourse transitions prevalent materials employed fabrication sensor electrodes, encapsulation layers, active sensing mediums, elucidating merits limitations. In‐depth discussions are devoted adorned with microstructures, including but not limited to, micropyramids, microhemispheres, micropillars, microporous configurations, microcracks, topological interconnections, multilevel constructs, random roughness, biomimetic microstructures inspired by flora fauna, accompanied exemplar studies from each category. Moreover, utility within realm intelligent environments is explicated, highlighting application monitoring physiological signals, detection sliding motions, discernment surface textures. culminates critical examination paramount challenges predicaments that must be surmounted further development enhance functional performance sensors, paving way integration advanced sensory systems.

Язык: Английский

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Deep-learning-enhanced metal-organic framework e-skin for health monitoring

Device, Год журнала: 2025, Номер unknown, С. 100650 - 100650

Опубликована: Янв. 1, 2025

Язык: Английский

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Janus Asymmetric Cellulosic Triboelectric Materials Enabled by Gradient Nano‐Doping Strategy

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

Abstract The rapid development of wearable electronic devices has posed higher demands on the design strategies advanced sensing materials. Multidimensional functionality and energy self‐sufficiency have consistently been focal points in field sensing. construction biomimetic nanostructures materials can endow sensors with intrinsic response characteristics derivative performance. Here, inspired by Janus structure function human skin, a gradient nano‐doping strategy is proposed for developing cellulosic triboelectric biomimetic‐ordered asymmetric structures. This integrates complementary advantages internal components structures to meet complex requirements self‐powered material simultaneously achieves high electrical output power (2.37 W m −2 ), excellent mechanical properties (withstanding tensile forces over 20 080 times its weight), thermal conductivity. wireless system designed accordingly demonstrates sensitivity (27.3 kPa −1 ) sustained performance fidelity (15 000 cycles), faithfully recording motion training information. research holds significant value practical implications structure, properties, application platforms devices.

Язык: Английский

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Fringing‐Effect‐Based Capacitive Proximity Sensors

Advanced Functional Materials, Год журнала: 2024, Номер 34(51)

Опубликована: Авг. 28, 2024

Abstract Proximity sensing technology, which can obtain information without physical contact, has become an ideal choice in scenarios where contact is not feasible. Despite substantial advancements tactile sensing, proximity technology still holds great potential and yet to be fully developed. Among numerous technologies, the fringing‐effect‐based capacitive sensor (FE‐CPS) garnered considerable attention due its low cost, power consumption, wide range, flexible versatile structural design. However, research on FE‐CPS formed a complete system, development intellectualization are their infancy, urgently requiring systematic review advance development. This paper systematically summarizes recent advances FE‐CPS, from basic theory practical applications. The working principle typical structure of first introduced, followed by discussion methods for optimizing device performance. Furthermore, application intelligent pre‐alarm systems, control material perception systems reviewed. Finally, future challenges faced prospected.

Язык: Английский

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Intelligent Robotic Sensory System with Epidermis‐Dermis Bionic Electronic Skin for Autonomous Hardness/Softness‐Based Material Perception

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Abstract Traditional electronic skin (e‐skin), due to the lack of human‐skin‐like complex sensitive structures and their derived autonomous perception decision‐making capabilities tactile nervous system, makes it difficult achieve performance deep‐level intelligence comparable human skin. Herein, a soft/hardware‐synergy‐motivated epidermis‐dermis bionic (EDB) e‐skin is proposed, inspired by interlaced papillary projections between epidermis dermis. Benefiting from interlocked microdome iontronic effect, EDB exhibits maximum sensitivity 1558.3 kPa −1 (<1 kPa), low limit detection <0.01 Pa, fast response/recovery time <5.6 ms. In addition, feasibility hardness/softness‐based material technology verified through test results COMSOL finite element analysis. Further, after being equipped with “tactile system”, that is, hardware functional modules terminal artificial neural networks, an intelligent robotic sensory system integrated fingertips developed. With single touch, this can autonomously in real‐time perceive different materials, achieving abilities those humans.

Язык: Английский

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Additively manufactured micro-lattice dielectrics for multiaxial capacitive sensors

Science Advances, Год журнала: 2024, Номер 10(40)

Опубликована: Окт. 4, 2024

Soft sensors that can perceive multiaxial forces, such as normal and shear, are of interest for dexterous robotic manipulation monitoring human performance. Typical planar fabrication techniques have substantial design constraints often prohibit the creation functionally compelling complex architectures. Moreover, they require multiple-step operations production. Here, we use an additive manufacturing process based on continuous liquid interface production to create high-resolution (30-micrometer) three-dimensional elastomeric polyurethane lattices dielectric layers in capacitive sensors. We show responses sensitivities highly tunable through designs lattice type, thickness, material-void volume percentage. Microcomputed tomography finite element simulation used elucidate influence deformation mechanism concomitant sensing behavior. The advantage printing is exhibited with examples fully printed representative athletic equipment integrated

Язык: Английский

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Graded Nanotexturing Architectural Wearable Triboelectric Sensor for Programmable Haptic Exploration

Nano Letters, Год журнала: 2024, Номер 24(43), С. 13542 - 13550

Опубликована: Окт. 16, 2024

Emulating biological perception mechanisms to construct intelligent sensing devices and systems represents a paradigm for promoting human–computer interaction in the Internet of Everything era. Nonetheless, developing highly sensitive, real-time rapidly integrated units remains challenging time-consuming endeavor. This study employs low-temperature glow discharge technique fabricate graded nanotexturing architectural triboelectric nanopaper, upon which wearable sensors tactile detection are designed. The structure enhances contact area under an external force. Additionally, Z-stacking design enables sensor achieve remarkable sensitivity 10.3 kPa–1 rapid response time 52 ms. Furthermore, array was designed demonstrate sensor's ability recognize characteristic pressures. With programmable machine learning techniques, object recognition rate reached 97%. supports material structural across disciplines, laying solid foundation fabrication integration transient electronics.

Язык: Английский

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A Decoupling Method for Multimode Flexible Capacitive Sensors to Decouple Spatial Forces and Dynamic Humidity

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

This paper focuses on a four-capacitor flexible sensor composed of two electrode materials; also, the decoupling method and sensing performance for multimodal spatial forces dynamic humidity are described. In previous work, multimode sensors is mostly done by monitoring types signals, numerical differences same signal, stacking multiple parameter-sensitive materials. mainly uses different characteristics in simulation experiment humidity, moisture-sensitive quickly wets from outside to inside expands, contact angle decreases 58.5 3.7° within 12.04 s, while copper has no obvious change; force, capacitance value capacitor electrodes changes steadily with magnitude force. That is, can respond both force responds only So, we use decouple information calculate under influence The affected be obtained difference between measured then, according material properties. When single physical quantity changes, built-in test platform verifies that accuracy dual-mode as high 0.95, 0.97. quantities change synchronously, relatively uniformly distributed range, reach 0.99 range 31%RH-56%RH. As sensor, sensitivity gradually increases. During repeated low characteristics, stability, repeatability have very good performance. repetition rate 97.64%, response time 11.3 recovery 6.8 24 days remains basically unchanged. All these provide some insight into application sensors.

Язык: Английский

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Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.

Язык: Английский

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Integrated Sensing–Memory–Computing Artificial Tactile System for Physiological Signal Processing Based on ITO Nanowire Synaptic Transistors

ACS Applied Nano Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Язык: Английский

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