Bioinspired electronics for intelligent soft robots DOI

Junhyuk Bang,

Seok Hwan Choi,

Kyung Rok Pyun

et al.

Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 1(9), P. 597 - 613

Published: Aug. 5, 2024

Language: Английский

Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses DOI Creative Commons

Tianming Sun,

Bin Feng, Jinpeng Huo

et al.

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 16(1)

Published: Nov. 13, 2023

The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.

Language: Английский

Citations

121

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform DOI Creative Commons
Chan Wang, Tianyiyi He, Hong Zhou

et al.

Bioelectronic Medicine, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 2, 2023

The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization intelligence. These have extensive applications in medical care, personal management, elderly sports, other fields, providing people with more convenient real-time services. However, these face limitations such as noise drift, difficulty extracting useful information from large amounts data, lack feedback or control signals. artificial intelligence provided powerful tools algorithms for data processing analysis, enabling intelligent monitoring, achieving high-precision predictions decisions. By integrating Internet Things, intelligence, sensors, it becomes possible realize a closed-loop system functions collection, online diagnosis, treatment recommendations. This review focuses on healthcare enhanced technologies aspects materials, device structure, integration, scenarios. Specifically, this first introduces great advances wearable respiration rate, heart pulse, sweat, tears; implantable cardiovascular nerve signal acquisition, neurotransmitter monitoring; soft electronics precise therapy. Then, recent volatile organic compound detection highlighted. Next, current developments human-machine interfaces, AI-enhanced multimode self-sustainable systems reviewed. Last, perspective future directions further research is also provided. In summary, fusion will provide intelligent, convenient, secure services next-generation biomedical applications.

Language: Английский

Citations

98

A robotic sensory system with high spatiotemporal resolution for texture recognition DOI Creative Commons
Ningning Bai, Yiheng Xue,

Shuiqing Chen

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 14, 2023

Abstract Humans can gently slide a finger on the surface of an object and identify it by capturing both static pressure high-frequency vibrations. Although modern robots integrated with flexible sensors precisely detect pressure, shear force, strain, they still perform insufficiently or require multi-sensors to respond physical stimuli during interaction. Here, we report real-time artificial sensory system for high-accuracy texture recognition based single iontronic slip-sensor, propose criterion—spatiotemporal resolution, corelate sensing performance capability. The sensor dynamic (0-400 Hz) high spatial resolution 15 μm in spacing 6 height, together 0.02 Hz at 400 Hz, enabling high-precision discrimination fine features. prosthetic fingertip 20 different commercial textiles 100.0% accuracy fixed sliding rate 98.9% random rates. is expected help achieve subtle tactile sensation robotics prosthetics, further be applied haptic-based virtual reality beyond.

Language: Английский

Citations

92

Thin-film PMUTs: a review of over 40 years of research DOI Creative Commons
Kaustav Roy, Joshua E.-Y. Lee, Chengkuo Lee

et al.

Microsystems & Nanoengineering, Journal Year: 2023, Volume and Issue: 9(1)

Published: July 21, 2023

Thin-film PMUTs have been important research topics among microultrasound experts, and a concise review on their progress is reported herein. Through rigorous surveying, scrutinization, perception, it has determined that the work in this field began nearly 44 years ago with primitive development of functional piezoelectric thin-film materials. To date, there are three major companies commercializing bulk scale. This commercialization illustrates extensive contributions made by more than 70 different centers, institutes, agencies across 4 continents regarding vast these devices' design, manufacturing, function. covers short yet comprehensive manner; particular, paper educates readers about global PMUT outlook, governing design principles, manufacturing methods, nonconventional useful designs, category-wise applications. Crucial comparison charts material used PMUTs, categorically targeted applications depicted discussed to enlighten any MEMS designer who plans PMUTs. Moreover, each relevant section features clear future predictions based author's past knowledge expertise findings careful literature survey. In short, one-stop time-efficient guide for anyone interested learning small devices.

Language: Английский

Citations

63

Soft Sensors and Actuators for Wearable Human–Machine Interfaces DOI
Jonghwa Park, Youngoh Lee, Seungse Cho

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(4), P. 1464 - 1534

Published: Feb. 5, 2024

Haptic human-machine interfaces (HHMIs) combine tactile sensation and haptic feedback to allow humans interact closely with machines robots, providing immersive experiences convenient lifestyles. Significant progress has been made in developing wearable sensors that accurately detect physical electrophysiological stimuli improved softness, functionality, reliability, selectivity. In addition, soft actuating systems have developed provide high-quality by precisely controlling force, displacement, frequency, spatial resolution. this Review, we discuss the latest technological advances of actuators for demonstration HHMIs. We particularly focus on highlighting material structural approaches enable desired sensing properties necessary effective Furthermore, promising practical applications current HHMI technology various areas such as metaverse, robotics, user-interactive devices are discussed detail. Finally, Review further concludes discussing outlook next-generation technology.

Language: Английский

Citations

58

Multimodal Sensors Enabled Autonomous Soft Robotic System with Self-Adaptive Manipulation DOI
Tianhong Wang, Tao Jin, Weiyang Lin

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(14), P. 9980 - 9996

Published: Feb. 22, 2024

Human hands are amazingly skilled at recognizing and handling objects of different sizes shapes. To date, soft robots rarely demonstrate autonomy equivalent to that humans for fine perception dexterous operation. Here, an intelligent robotic system with autonomous operation multimodal ability is developed by integrating capacitive sensors triboelectric sensor. With distributed multiple sensors, our robot can not only sense memorize information but also enable adaptive grasping method positioning grasp control, during which the sensory be captured sensitively fused feature level crossmodally objects, leading a highly enhanced recognition capability. The proposed system, combining performance physical intelligence biological systems (i.e., self-adaptive behavior perception), will greatly advance integration actuators robotics in many fields.

Language: Английский

Citations

33

Tactile corpuscle-inspired piezoresistive sensors based on (3-aminopropyl) triethoxysilane-enhanced CNPs/carboxylated MWCNTs/cellulosic fiber composites for textile electronics DOI
Xiaohui Guo, Tianxu Zhang, Ziang Wang

et al.

Journal of Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 660, P. 203 - 214

Published: Jan. 12, 2024

Language: Английский

Citations

30

Integrated Actuation and Sensing: Toward Intelligent Soft Robots DOI Creative Commons
Shuai Zhou, Yuanhang Li, Qianqian Wang

et al.

Cyborg and Bionic Systems, Journal Year: 2024, Volume and Issue: 5

Published: Jan. 1, 2024

Soft robotics has received substantial attention due to its remarkable deformability, making it well-suited for a wide range of applications in complex environments, such as medicine, rescue operations, and exploration. Within this domain, the interaction actuation sensing is utmost importance controlling movements functions soft robots. Nonetheless, current research predominantly focuses on isolated capabilities, often neglecting critical integration these 2 domains achieve intelligent functionality. In review, we present comprehensive survey fundamental strategies multimodal while also delving into advancements proprioceptive haptic their fusion. We emphasize integrating robotics, presenting 3 methodologies, namely, sensor surface integration, internal closed-loop system based feedback. Furthermore, highlight challenges field suggest compelling directions future research. Through synthesis, aim stimulate further curiosity among researchers contribute development genuinely

Language: Английский

Citations

29

Acoustically Enhanced Triboelectric Stethoscope for Ultrasensitive Cardiac Sounds Sensing and Disease Diagnosis DOI

Xindan Hui,

Lirong Tang,

Dewen Zhang

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(29)

Published: May 15, 2024

Electronic stethoscope used to detect cardiac sounds that contain essential clinical information is a primary tool for diagnosis of various disorders. However, the linear electromechanical constitutive relation makes conventional piezoelectric sensors rather ineffective low-intensity, low-frequency heart acoustic signal without assistance complex filtering and amplification circuits. Herein, it found triboelectric sensor features superior advantages over one microquantity sensing originated from fast saturated characteristic. As result, shows ultrahigh sensitivity (1215 mV Pa

Language: Английский

Citations

26

Phase-Directed Assembly of Triboelectric Nanopaper for Self-Powered Noncontact Sensing DOI
Jinlong Wang, Siqiyuan Zhu, Jiangtao Li

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(25), P. 7809 - 7818

Published: June 14, 2024

Noncontact sensing technology serves as a pivotal medium for seamless data acquisition and intelligent perception in the era of Internet Things (IoT), bringing innovative interactive experiences to wearable human–machine interaction networks. However, pervasive limitations current noncontact devices posed by harsh environmental conditions hinder precision stability signals. In this study, triboelectric nanopaper prepared phase-directed assembly strategy is presented, which possesses low charge transfer mobility (1618 cm2 V–1 s–1) exceptional high-temperature stability. Wearable self-powered sensors constructed from operate stably under high temperatures (200 °C). Furthermore, temperature warning system workers hazardous environments demonstrated, capable nonintrusively identifying harmful thermal stimuli detecting motion status. This research not only establishes technological foundation accurate stable but also promotes sustainable development IoT extreme environments.

Language: Английский

Citations

26