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A Vision-Based Tactile Sensing System for Multimodal Contact Information Perception via Neural Network

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024年 73卷

作者： Xu, Weiliang Zhou, Guoyuan Zhou, Yuanzhi Zou, Zhibin Wang, Jiali Wu, Wenfeng Li, Xinming South China Normal Univ Guangdong Basic Res Ctr Excellence Struct & Fundam Sch Informat & Optoelect Sci & Engn Guangdong Prov Key Lab Nanophoton Funct Mat & Devi Guangzhou 510006 Peoples R China

Typically, robotic dexterous hands are equipped with various sensors to acquire multimodal tactile information, which is an important way for robots to perceive and interact with the environment. Vision-based tactile sensors have been widely developed due to their simple structure and high resolution. It adopts a specialized optical design to convert different contact information into different signal responses, such as recognizing contact force information based on the marker-based method, obtaining contact shape information based on the photometric stereo (PS) method, and so on. However, the current mainstream vision-based tactile sensing systems tend to adopt isolated optical design strategies and different data processing methods for different modal tactile information, introducing limitations in system integration. This article proposes a vision-based tactile sensing strategy for multimodal tactile information using only reflected light field information. The specific implementation of the vision-based tactile sensor and the recognition algorithm for sensing multiple tactile information simultaneously are described in detail. The results show that the tactile sensing strategy does not need to design different optical structures for different modal tactile information but only uses a simple reflection layer combined with a neural network to sense multimodal tactile information, which reduces the complexity of the tactile system. In addition, the system achieves a force error of 0.2 N and a pose error of 0.41 degrees and shows excellent precision and recall in localization and classification tasks, demonstrating the potential for multimodal tactile integration in various fields.

关键词： sensors Tactile sensors Reflection Force Optical sensors Deformation Feature extraction Multimodal sensors neural network object recognition tactile sensors vision-based tactile sensor

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A Selective‑Response Hypersensitive Bio‑Inspired Strain sensor Enabled by Hysteresis Effect and Parallel Through‑Slits Structures

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Nano-Micro Letters 2024年第2期16卷 139-153页

作者： Qun Wang Zhongwen Yao Changchao Zhang Honglie Song Hanliang Ding Bo Li Shichao Niu Xinguan Huang Chuanhai Chen Zhiwu Han Luquan Ren Key Laboratory of Bionic Engineering(Ministry of Education) Jilin UniversityChangchunJilin 130022People’s Republic of China Liaoning Academy of Materials LiaoningShenyang 110167People’s Republic of China Key Laboratory of CNC Equipment Reliability(Ministry of Education) Jilin UniversityChangchunJilin 130022People’s Republic of China

Flexible strain sensors are promising in sensing minuscule mechanical signals,and thereby widely used in various advanced ***,the effective integration of hypersensitivity and highly selective response into one flexible strain sensor remains a huge ***,inspired by the hysteresis strategy of the scorpion slit receptor,a bio-inspired flexible strain sensor(BFSS)with parallel through-slit arrays is designed and ***,BFSS consists of conductive monolayer graphene and viscoelastic styrene–isoprene–styrene block *** the synergistic effect of the bio-inspired slit structures and flexible viscoelastic materials,BFSS can achieve both hypersensitivity and highly selective frequency ***,the BFSS exhibits a high gage factor of 657.36,and a precise identification of vibration frequencies at a resolution of 0.2 Hz through undergoing different morphological changes to high-frequency vibration and low-frequency ***,the BFSS possesses a wide frequency detection range(103 Hz)and stable durability(1000 cycles).It can sense and recognize vibration signals with different characteristics,including the frequency,amplitude,and *** work,which turns the hysteresis effect into a"treasure,"can provide new design ideas for sensors for potential applications including human–computer interaction and health monitoring of mechanical equipment.

关键词： Bio-inspired strain sensors Hysteresis effect Hypersensitivity Selective frequency response Health monitoring applications

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Advances in gas sensors using screen printing

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JOURNAL OF MATERIALS CHEMISTRY A 2025年第8期13卷 5447-5497页

作者： Belal, Mohamed Ahmed Hajra, Sugato Panda, Swati Kaja, Kushal Ruthvik Abdo, Mohamed Magdy Mohamed Abd El-Moneim, Ahmed Janas, Dawid Mishra, Yogendra Kumar Kim, Hoe Joon Daegu Gyeongbuk Inst Sci & Technol Dept Robot & Mechatron Engn Daegu 42988 South Korea Ain Shams Univ Fac Engn Phys & Math Engn Dept Cairo 11535 Egypt Egypt Japan Univ Sci & Technol Graphene Ctr Excellence Energy & Elect Applicat Alexandria 21934 Egypt Silesian Tech Univ Dept Organ Chem Bioorgan Chem & Biotechnol B Krzywoustego 4 PL-44100 Gliwice Poland Univ Southern Denmark Mads Clausen Inst NanoSYD Alsion 2 DK-6400 Sonderborg Denmark

Gas sensing is crucial for detecting and monitoring hazardous, gases in various environments to ensure safety and prevent potential health risks. It helps in the early identification of gas leaks, air quality monitoring, and environmental protection, contributing to public health and industrial safety. Screen-printed gas sensors are trending nowadays due to their ability to fabricate electrodes or deposit functional components onto substrates and their cost-effective and scalable manufacturing process, making them suitable for mass production. This review provides an overview of screen printing and hybrid screen printing techniques utilizing different methods, such as spin coating, drop casting, spray coating, and inkjet printing (IJP), with screen printing for various gas sensing applications. The mechanism of each hazardous gas detection technique, their precision in the identification of hazardous gases, and their impact on sensor enhancement were thoroughly analyzed. Furthermore, the vital integration of screen-printed gas sensors with various futuristic technologies, such as artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT) devices, supercapacitors (SCs), triboelectric nanogenerators (TENGs), and microheaters, was demonstrated to enhance sensor performance and broaden the application area. Moreover, this review highlighted the importance of sensors' sensitivity, selectivity, and environmental stability, which offer plenty of room for innovation. For future improvements, the integration of microfluidic, multi-sensor arrays, functional coatings, and nanomaterials into screen-printed gas sensor devices was proposed. In this context, gas sensing platforms can be refined by operating them using energy harvesting principles, improving their environmental stability, and making them wearable and flexible. This review paper would benefit many researchers and readers working in this field to familiarize themselves with the recent breakthro

关键词： Screen printing

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A Proposal for a Solar Position sensor System with Multifiber Optical Cable

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sensors 2024年第11期24卷 3269页

作者： Oliveira, Fernanda Cruz, Gustavo Barbosa, Maria Junior, Fernando Lima, Ricardo Gomez-Malagon, Luis Univ Technol Sydney Dept Elect Energy Syst 15 Broadway Ultimo NSW 2007 Australia Univ Pernambuco Postgrad Program Syst Engn Polytech Sch Pernambuco BR-50720001 Recife PE Brazil Polytech Sch Pernambuco BR-50720001 Recife PE Brazil

A solar position sensor is an essential optoelectronic device used to monitor the sun's position in solar tracking systems. In closed-loop systems, this sensor is responsible for providing feedback signals to the control system, allowing motor adjustments to optimize the angle of incidence and minimize positioning errors. The accuracy required for solar tracking systems varies depending on the specific photovoltaic concentration. In the case of the concentrator photovoltaic (CPV), it is normally essential to track the sun with a position error of less than +/- 0.6 degrees. To achieve such precision, a proposed sensor configuration composed of low-cost embedded electronics and multifiber optical cable is subjected to characterization through a series of measurements covering range, sensitivity, and resolution. These measurements are performed in controlled indoor environments as well as outdoor conditions. The results obtained exhibit a resolution of 2.6x10-3 degrees when the sensor is illuminated within its designated field of view of +/- 0.1 degrees, particularly in external conditions. Considering the performance demonstrated by the proposed solar position sensor, coupled with its straightforward modeling and assembly compared to position sensors documented in the literature, it emerges as a promising candidate for integration into solar tracking systems.

关键词： optical fiber sensor concentrator photovoltaic solar tracker electronic instrumentation

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Personal Air-Quality Monitoring with sensor-Based Wireless Internet-of-Things Electronics Embedded in Protective Face Masks

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sensors 2024年第8期24卷 2601页

作者： Kuglics, Lajos Geczy, Attila Dusek, Karel Busek, David Illes, Balazs Budapest Univ Technol & Econ Fac Elect Engn & Informat Dept Elect Technol H-1111 Budapest Hungary Czech Tech Univ Fac Elect Engn Dept Electrotechnol Prague 16627 Czech Republic Lukasiewicz Res Network Inst Microelect & Photon LTCC Technol Res Grp PL-02255 Krakow Poland

In this paper, the design and research of a sensor-based personal air-quality monitoring device are presented, which is retrofitted into different personal protective face masks. Due to its small size and low power consumption, the device can be integrated into and applied in practical urban usage. We present our research and the development of the sensor node based on a BME680-type environmental sensor cluster with a wireless IoT (Internet of Things)-capable central unit and overall low power consumption. The integration of the sensor node was investigated with traditional medical masks and a professional FFP2-type mask. The filtering efficiency after embedding was validated with a head model and a particle counter. We found that the professional mask withstood the embedding without losing the protective filtering aspect. We compared the inner and outer sensor data and investigated the temperature, pressure, humidity, and AQI (Air Quality Index) relations with possible sensor data-fusion options. The novelty is increased with the dual-sensor layout (inward and outward). It was found that efficient respiration monitoring is achievable with the device. With the analysis of the recorded data, characteristic signals were identified in an urban environment, enabling urban altimetry and urban zone detection. The results promote smart city concepts and help in endeavors related to SDGs (Sustainable Development Goals) 3 and 11.

关键词： face mask air quality sensors embedded electronics IoT wearable

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integration and evaluation of the high-precision MotionCam-3D into a 3D thermography system

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JOURNAL OF sensors AND sensor SYSTEMS 2024年第1期13卷 123-133页

作者： Mendez-Bohorquez, Miguel-David Schramm, Sebastian Schmoll, Robert Kroll, Andreas Univ Kassel Dept Measurement & Control D-34125 Kassel Germany

Infrared thermal imaging enables fast, accurate and non-contact measurement of temperature distributions. However, 2D representations of 3D objects often require several images to provide significant information. For such cases, 3D thermograms allow a quick temporal and spatial analysis. In this paper, the integration of an industrial high-precision 3D sensor into a 3D thermography system is presented. The performances of the existing and new systems are assessed and compared by analyzing 3D thermograms of an industry-related test object. The geometry of the obtained point cloud is evaluated by means of a non-referenced point cloud quality assessment approach. It is shown that, in the presence of the spatial resolution and the local curvature, the proposed system performs significantly better than the existing one.

关键词： Thermography (temperature measurement)

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Study on 3D Effects on Small Time Delay integration Image sensor Pixels

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sensors 2025年第7期25卷 1953页

作者： Guo, Siyu Zhou, Quan Boulenc, Pierre Klekachev, Alexander V. Wang, Xinyang Lahav, Assaf Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys Changchun 130033 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Gpixel Inc Changchun 130031 Peoples R China

This paper demonstrates the impact of 3D effects on performance parameters in small-sized Time Delay integration (TDI) image sensor pixels. In this paper, 2D and 3D simulation models of 3.5 mu m x 3.5 mu m small-sized TDI pixels were constructed, utilizing a three-phase pixel structure integrated with a lateral anti-blooming structure. The simulation experiments reveal the limitations of traditional 2D pixel simulation models by comparing the 2D and 3D structure simulation results. This research validates the influence of the 3D effects on the barrier height of the anti-blooming structure and the full well potential and proposes methods to optimize the full well potential and the operating voltage of the anti-blooming structure. To verify the simulation results, test chips with pixel sizes of 3.5 mu m x 3.5 mu m and 7.0 mu m x 7.0 mu m were designed and manufactured based on a 90 nm CCD-in-CMOS process. The measurement results of the test chips matched the simulation data closely and demonstrated excellent performance: the 3.5 mu m x 3.5 mu m pixel achieved a full well capacity of 9 ke- while maintaining a charge transfer efficiency of over 0.99998.

关键词： CCD-in-CMOS TDI image sensor 3D effect TCAD simulation

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Enhancing Selectivity of Two-Dimensional Materials-Based Gas sensors

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ADVANCED FUNCTIONAL MATERIALS 2025年第20期35卷

作者： Yang, Jiefu Sun, Ruijia Bao, Xuan Liu, Juanjuan Ng, Jun Wen Tang, Bijun Liu, Zheng Nanyang Technol Univ Sch Mat Sci & Engn Singapore 639798 Singapore Southwest Forestry Univ Coll Landscape Architecture & Hort Kunming 650224 Peoples R China

Two-dimensional (2D) materials have emerged as promising candidates for gas sensing applications due to their exceptional electrical, structural, and chemical properties, which enable high sensitivity and rapid response to gas molecules. However, despite their potential, 2D material-based gas sensors face a significant challenge in achieving adequate selectivity, as many sensors respond similarly to multiple gases, leading to cross-sensitivity and inaccurate detection. This review provides a comprehensive overview of the recent advancements for improving the selectivity of 2D gas sensors. It explores material modification strategies, such as functionalizing the sensing components and tuning adsorption dynamics, to enhance selective gas interactions. Engineering approaches, including field-effect modulation and sensor array design, are also discussed as effective methods to fine-tune sensor performance. Additionally, the integration of machine learning (ML) algorithms is highlighted for their potential to differentiate among multiple analytes. Prospects for further improving selectivity through material optimization, sensor calibration, and drift compensation are explored, along with the incorporation of smart sensing systems into the Internet of Things (IoT). This review outlines key objectives and strategies that pave the way for next-generation gas sensors with enhanced selectivity, reliability, and versatility, poised to impact a wide range of applications from environmental monitoring to industrial safety.

关键词： 2D materials Internet of Things machine learning selective gas sensors

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Advanced integration of 3D Optomechanical sensor Microsystems with Optical Fibers

Advanced Integration of 3D Optomechanical Sensor Microsystem...

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2024 IEEE sensors Conference

作者： Chandrahalim, Hengky Williams, Jeremiah C. Air Force Inst Technol Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9798350363524;9798350363517

The ever-increasing demand for affordable, compact, and integrated sensors necessitates innovations that outperform traditional, bulkier counterparts. This paper introduces an advanced integration of 3D optomechanical sensor microsystems with optical fibers, using a two-photon nanomachining process. This technique enables the fabrication of complex 3D structures, including dynamic and movable features, unattainable through conventional photolithography. We present sensor microsystems incorporating resonant and non-resonant cavities, demonstrating exceptional sensitivity and operational range. The resonant microsensors offer heightened sensitivity to environmental conditions, while the non-resonant counterparts use rotating reflective microblades for precise flow sensing. Utilizing optical fiber as the substrate, these sensors transmit detected information in real-time to remote locations with minimal loss, eliminating the need for additional packaging, amplifiers, signal processing, and data transmission components. This innovative integration promises a new generation of highly sensitive, compact, and versatile sensor systems, ideal for contemporary engineering applications.

关键词： 3D optomechanical sensors optical fiber sensors optical fiber integration 3D microfabrication two-photon nanomachining resonant and non-resonant sensors

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Digital twin-enabled robotics for smart tag deployment and sensing in confined space

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2025年 95卷

作者： Putranto, Alan Lin, Tzu-Hsuan Tsai, Ping-Ting Ketapang State Polytech Dept Civil Engn Ketapang 78813 Indonesia Natl Cent Univ Dept Civil Engn Taoyuan 32011 Taiwan

The deployment of smart sensors in confined spaces presents significant challenges due to limited visibility, environmental constraints, and communication interference. This study introduces a novel integration of digital twin technology with robotics to address these challenges, enabling precise and reliable sensor deployment in complex environments such as steel box girders. The proposed system leverages a digital twin framework for real-time simulation, calibration, and monitoring, ensuring spatial consistency between virtual and physical operations. Advanced calibration methods align the robotic arm with its 3D camera coordinates, enhancing deployment accuracy. Communication robustness is achieved by strategically prioritizing critical control and sensor signals, mitigating the impact of wireless interference in confined spaces. Additionally, the system automates the deployment of RFID-based smart sensors, incorporating 3D-printed protective casings for durability in harsh conditions. Experimental results demonstrate the system's effectiveness in overcoming spatial, visibility, and communication challenges, providing a scalable solution for structural health monitoring and other industrial applications. This study contributes a holistic and innovative robotics and digital twin integration framework in confined and complex environments.

关键词： Digital twin Robotic sensor deployment Structural health monitoring Confined spaces Real-time synchronization Leak detection

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