Technology Roadmap for Flexible Sensors

ACS Nano, Journal Year: 2023, Volume and Issue: 17(6), P. 5211 - 5295

Published: March 9, 2023

Humans rely increasingly on sensors to address grand challenges and improve quality of life in the era digitalization big data. For ubiquitous sensing, flexible are developed overcome limitations conventional rigid counterparts. Despite rapid advancement bench-side research over last decade, market adoption remains limited. To ease expedite their deployment, here, we identify bottlenecks hindering maturation propose promising solutions. We first analyze achieving satisfactory sensing performance for real-world applications then summarize issues compatible sensor-biology interfaces, followed by brief discussions powering connecting sensor networks. Issues en route commercialization sustainable growth sector also analyzed, highlighting environmental concerns emphasizing nontechnical such as business, regulatory, ethical considerations. Additionally, look at future intelligent sensors. In proposing a comprehensive roadmap, hope steer efforts towards common goals guide coordinated development strategies from disparate communities. Through collaborative efforts, scientific breakthroughs can be made sooner capitalized betterment humanity.

Language: Английский

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Proximity Sensing Electronic Skin: Principles, Characteristics, and Applications

Advanced Science, Journal Year: 2024, Volume and Issue: 11(13)

Published: Jan. 28, 2024

Abstract The research on proximity sensing electronic skin has garnered significant attention. This technology enables detection without physical contact and holds vast application prospects in areas such as human‐robot collaboration, human‐machine interfaces, remote monitoring. Especially the context of spread infectious diseases like COVID‐19, there is a pressing need for non‐contact to ensure safe hygienic operations. article comprehensively reviews advancements field recent years. It covers principles, well single‐type sensors with characteristics large area, multifunctionality, strain, self‐healing capabilities. Additionally, it delves into progress dual‐type sensors. Furthermore, places special emphasis widespread applications flexible monitoring, highlighting their importance potential value across various domains. Finally, paper provides insights future sensor technology.

Language: Английский

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Machine Learning for Tactile Perception: Advancements, Challenges, and Opportunities

Advanced Intelligent Systems, Journal Year: 2023, Volume and Issue: 5(7)

Published: March 15, 2023

The past decades have seen the rapid development of tactile sensors in material, fabrication, and mechanical structure design. advancement has heightened expectation sensor functions, thus put forward a higher demand for data processing. However, conventional analysis techniques not kept pace with still suffer from some severe drawbacks, like cumbersome models, poor efficiency, expensive costs. Machine learning, its prominent ability big fast processing speed, can offer many possibilities analysis. Herein, machine learning employed signals are reviewed. Supervised unsupervised analog covered, spike summarized. Furthermore, applications robotic perception human activity monitoring presented. Finally, current challenges future prospects sensors, data, algorithms, benchmarks discussed.

Language: Английский

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A Pathway into Metaverse: Gesture Recognition Enabled by Wearable Resistive Sensors

Advanced Sensor Research, Journal Year: 2023, Volume and Issue: 2(8)

Published: Feb. 27, 2023

Abstract Hand gesture recognition is of great importance for human–Metaverse interaction. The human hand relatively smaller, with very complex articulations than the entire body. Therefore, precise recognition, especially in complicated environments, still a challenge. Wearable resistive sensors that could directly characterize joint movements are one most promising technologies due to their easy integration, low cost, and simple signal acquisition. Here, we summarize common categories wearable review recent advances. Besides, strategies improving waterproofness (molecular design, material modification, interfacial encapsulation) also outlined. Perspectives on advantages combining machine vision accurate dynamic tracking then provided. We hope this inspire future research systems.

Language: Английский

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Bioinspired Young's Modulus‐Hierarchical E‐Skin with Decoupling Multimodality and Neuromorphic Encoding Outputs to Biosystems

Advanced Science, Journal Year: 2023, Volume and Issue: 10(31)

Published: Sept. 7, 2023

Abstract As key interfaces for the disabled, optimal prosthetics should elicit natural sensations of skin touch or proprioception, by unambiguously delivering multimodal signals acquired to nervous system, which still remains challenging. Here, a bioinspired temperature‐pressure electronic with decoupling capability (TPD e‐skin), inspired high‐low modulus hierarchical structure human skin, is developed restore such functionality. Due bionic dual‐state amplifying microstructure and contact resistance modulation, MXene TPD e‐skin exhibits high sensitivity over wide pressure range excellent temperature insensitivity (91.2% reduction). Additionally, structural configuration enables thermistor. Furthermore, neural model proposed neutrally code into three types nerve‐acceptable frequency signals, corresponding thermoreceptors, slow‐adapting receptors, fast‐adapting receptors. Four operational states in time domain are also distinguished after coding domain. Besides, brain‐like machine learning‐based fusion process constructed analyze pattern achieve object recognition accuracy 98.7%. The system offers promising potential enable advanced prosthetic devices multimodality‐decoupling sensing deep integration.

Language: Английский

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A double-crack structure for bionic wearable strain sensors with ultra-high sensitivity and a wide sensing range

Nanoscale, Journal Year: 2024, Volume and Issue: 16(10), P. 5409 - 5420

Published: Jan. 1, 2024

Benefiting from the double-crack structure, sensors show ultra-high sensitivity, a wide working range and great value in human–machine interaction.

Language: Английский

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Multimodal tactile sensing fused with vision for dexterous robotic housekeeping

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Aug. 11, 2024

Abstract As robots are increasingly participating in our daily lives, the quests to mimic human abilities have driven advancements of robotic multimodal senses. However, current perceptual technologies still unsatisfied needs for home tasks/environments, particularly facing great challenges multisensory integration and fusion, rapid response capability, highly sensitive perception. Here, we report a flexible tactile sensor utilizing thin-film thermistors implement perceptions pressure, temperature, matter thermal property, texture, slippage. Notably, is endowed with an ultrasensitive (0.05 mm/s) ultrafast (4 ms) slip sensing that indispensable dexterous reliable grasping control avoid crushing fragile objects or dropping slippery objects. We further propose develop tactile-visual fusion architecture seamlessly encompasses sensations from bottom level decision-making at top level. A series intelligent strategies feedback recognition strategy ensure accurate objects, handling various challenging tasks, instance grabbing paper cup containing liquid. Furthermore, showcase desktop-cleaning task, robot autonomously accomplishes multi-item sorting cleaning desktop, demonstrating its promising potential smart housekeeping.

Language: Английский

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Architecture and Potential of Connected and Autonomous Vehicles

Vehicles, Journal Year: 2024, Volume and Issue: 6(1), P. 275 - 304

Published: Jan. 29, 2024

The transport sector is under an intensive renovation process. Innovative concepts such as shared and intermodal mobility, mobility a service, connected autonomous vehicles (CAVs) will contribute to the transition toward carbon neutrality are foreseen crucial parts of future systems, demonstrated by worldwide efforts in research industry communities. main driver CAVs development road safety, but other benefits, comfort energy saving, not be neglected. analysis usually focus on Information Communication Technology (ICT) themes less entire vehicle system. Many studies specific aspects available literature, including advanced powertrain control strategies their effects efficiency. However, most neglect additional power consumption due driving This work aims assess uncertain CAVs’ efficiency improvements offers overview architecture. In particular, combination literature survey proper statistical methods proposed provide comprehensive CAVs. CAV layout, data processing, management used discussed. gathered define distribution relative improvement, number sensors, computing units requirements. Those distributions have been employed within Monte Carlo method simulation evaluate effect using optimal behaviour, considering from hardware. results show that assumption technologies reduce compared reference vehicle, should taken for granted. 75% scenarios, simulated light-duty worsen efficiency, while more promising heavy-duty vehicles.

Language: Английский

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Deep learning methods improve genomic prediction of wheat breeding

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: March 4, 2024

In the field of plant breeding, various machine learning models have been developed and studied to evaluate genomic prediction (GP) accuracy unseen phenotypes. Deep has shown promise. However, most studies on deep in breeding limited small datasets, only a few explored its application moderate-sized datasets. this study, we aimed address limitation by utilizing moderately large dataset. We examined performance (DL) model compared it with widely used powerful best linear unbiased (GBLUP) model. The goal was assess GP context five-fold cross-validation strategy when predicting complete environments using DL results revealed outperformed GBLUP terms for two out five included traits strategy, similar other traits. This indicates superiority these specific Furthermore, leave-one-environment-out (LOEO) approach, demonstrated competitive performance. It is worth noting that employed study extends previously proposed multi-modal model, which had primarily applied image data but By dataset, were able potential more information challenging scenario breeding.

Language: Английский

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Progress on flexible tactile sensors in robotic applications on objects properties recognition, manipulation and human-machine interactions

Soft Science, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The robotic with integrated tactile sensors can accurately perceive contact force, pressure, vibration, temperature and other stimuli. Flexible sensing technologies have been widely utilized in intelligent robotics for stable grasping, dexterous manipulation, object recognition human-machine interaction. This review presents promising flexible their potential applications robotics. significance of performance requirements are first described. commonly used six types mechanisms briefly illustrated, followed by the progress novel structural design characteristics several sensors, such as highly sensitive pressure tri-axis force sensor, distributed sensor array, multi-modal sensor. Then, using properties recognition, grasping interactions thoroughly discussed. Finally, challenges future prospects In summary, this will be conducive to is a heuristic developing next generation advanced functions future.

Language: Английский

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