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22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

作者： Jang, Il Ryu Jung, Soon In Ryu, Chaehyun Park, Jeonhyung Padhan, Aneeta Yu, Jaesok Keum, Hohyun Kim, Hoe Joon Dgist Department Of Robotics And Mechatronics Engineering Korea Republic of Digital Health Care R&d Department Korea Republic of

ISBN: (纸本)9784886864352

Humidity is crucial in agriculture, electronic device fabrication, and climate change. In particular, as the coronavirus outbreak globally spreads, airborne water moisture has been considered the carrier of airborne viruses. Therefore, there is much need to develop accurate and precise humidity sensors to predict and prevent coronavirus transmission. This paper presents the multi-frequency surface acoustic wave (SAW) platform with graphene oxide (GO) decoration for humidity sensing. The novel claims include (1) the localized integration of GO with ng-resolution using an electrospray deposition (ESD) system, (2) highly sensitive and stable sensing performances by selecting proper operating resonant frequency depending on relative humidity (RH) levels, and (3) use of the developed sensor for face mask inspection. Our findings suggest that the multi-frequency SAW ensures high measurement sensitivity over a large RH range, further improving the current state of the resonator-based humidity sensors. © 2023 IEEJ.

关键词： Electrospray deposition Graphene oxide Humidity sensor Surface acoustic wave

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High accuracy target point classification through dark-field detection of large-aperture optics surface based on machine vision

High accuracy target point classification through dark-field...

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2024 Applied Optics and Photonics China: Optical Sensing, Imaging Technology, and Applications, AOPC 2024

作者： Zhou, Shicheng Yin, Zhaoyang Wang, Bei Zhao, Linjie Cheng, Jian Chen, Mingjun School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

Surface defects on optics seriously affect their service life in high-power laser system. To address this issue, repair technologies for large-aperture optics are extensively employed. However, the operation of high-power laser system generates a large number of optics requiring repair. Currently, microscopic inspection is widely used for target points classification due to its high accuracy, but it has limitations such as small field of view and low efficiency. Utilizing the OTSU algorithm and Convolutional Neural Networks (CNN), a dark-field classification model for optical surface target points has been developed. Upon conducting experiments with several network models, the ResNet model, a probability threshold of 0.998 were determined. In conclusion, the classification accuracy for defects was 99.18% and for contaminants was 90.34%. The outcomes show that target points on the surfaces of optics can be accurately classified using this method. © 2024 SPIE.

关键词： Machine vision

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Applying Radio Frequency Attenuators to Reduce the Impact of U-NII-4 Interference on DSRC Channel 180

Applying Radio Frequency Attenuators to Reduce the Impact of...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Hatcher, Grayson Tello, Marco Kirkwood, Nathan Kihei, Billy Kennesaw State University Department of Electrical and Computer Engineering MariettaGA United States Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA United States

ISBN: (纸本)9798331504847

In recent years, competition within Radio Frequency (RF) communication bands has led to an overlap between the U-NII-4 band used by low-cost consumer devices, and the Dedicated Short Communication Band (DSRC) used by the Georgia Department of Transportation. Past research confirmed that this interference leads to drastic reduction in Packet Reception Rate (PRR) for Roadside Units (RSUs) and On-Board Units (OBUs) throughout the country, resulting in a reduction of stability between different components of the Intelligent Transportation System (ITS). Our research team set a goal to prove that a low-cost and simple modification can be made to RSUs currently in use that could increase PRR, by developing and testing RF technologies, primarily attenuators available on the market currently. These solutions could be easily adapted to infrastructure systems, and only require they run in-line with the stock antennas already in use. We were able to accomplish this goal, as well as made findings that may be beneficial within the world of RF communications for RSU devices. © 2025 IEEE.

关键词： Advanced driver assistance systems

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Fabrication of Microchannels on Aluminium-Coated Polymethyl Methacrylate (PMMA) Using a Low Power CO2 Laser

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Lasers in Manufacturing and Materials Processing 2024年第4期11卷 868-886页

作者： Okello, Job Lazarus El-Bab, Ahmed M. R. Fath Yoshino, Masahiko El-Hofy, Hassan A. Industrial and Manufacturing Engineering Department Egypt-Japan University of Science and Technology New Borg El-Arab City Egypt Mechatronics and Robotics Engineering Department Egypt-Japan University of Science and Technology New Borg El-Arab City Egypt Department of Mechanical Engineering Tokyo Institute of Technology Tokyo Japan Department of Production Engineering Faculty of Engineering Alexandria University Alexandria Egypt

The emergence of microfluidics as one of the most viable technologies for making various microfluidic devices has greatly enhanced miniaturization in several areas. The utilization of polymethyl methacrylate (PMMA) for making such devices using CO2 lasers has significantly increased due to the flexibility, time, and cost-effectiveness involved. However, attaining microchannels with accurate dimensions is a challenge because of the resulting defects like bulges, high heat-affected zone (HAZ), and surface roughness (Ra). This paper presents a novel attempt to engrave rectangular microchannels on PMMA substrates using a CO2 laser by coating the substrates with a thin layer of 1 μm thickness of 99.95% pure aluminium. The study investigated the effects of power, and speed on the quality of the microchannels. The fabrication was done on both coated and uncoated substrates under the same conditions and the results were compared. Power and speed ranged from 1.5 to 7.5 W and 5 to 17.5 mm/s, respectively. At 1.5 W and 17.5 mm/s, the aspect ratio increased by 37.16%. However, the microchannel depth, width, HAZ, and Ra all reduced by 44.66%, 59.68%, 29.44%, and 64.74% respectively. At 7.5 W and 5 mm/s, the aspect ratio increased by 81.46%. However, the microchannel depth, width, HAZ, and Ra all reduced by 21.84%, 54.64%, 32.36%, and 72.70% respectively. The coated substrates produced better microchannels than the uncoated ones. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Carbon dioxide lasers

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Direct fabrication of flexible tensile sensors enabled by polariton energy transfer based on graphene nanosheet films

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Nanotechnology and Precision engineering 2023年第1期6卷 1-11页

作者： Xi Zhang Junchi Ma Wenhao Huang Jichen Zhang Chaoyang Lyu Yu Zhang Bo Wen Xin Wang Jing Ye Dongfeng Diao College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Research Center of Medical Plasma Technology Shenzhen UniversityShenzhen 518060China Shenzhen Milebot Robotics Co. Ltd.Shenzhen 518060China

A fundamental problem in the direct manufacturing of flexible devices is the low melting temperature of flexible substrates,which hinders the development of flexible *** here is an electron-cyclotron-resonance sputtering system that can batch-fabricate devices directly on flexible substrates under a low temperature by virtue of the polariton energy transfer between the plasma and the *** graphene nanosheet-embedded carbon(F-GNEC)films are manufactured directly on polyimide,polyethylene terephthalate,and polydimethylsiloxane,and how the substrate bias(electron energy),microwave power(plasma flux and energy),and magnetic field(electron flux)affect the nanostructure of the F-GNEC films is investigated,indicating that electron energy and flux contribute to the formation of standing graphene nanosheets in the *** films have good uniformity of distribution in a large size(17 mm×17 mm),and tensile and angle sensors with a high gauge factor(0.92)and fast response(50 ms)for a machine hand are obtained by virtue of the unique nanostructure of the F-GNEC *** work sheds light on the quantum manufacturing of carbon sensors and its applications for intelligent machine hands and virtual-reality technology.

关键词： Direct flexible fabrication Graphene nanosheets film Polariton energy transfer Flexible sensor Quantum manufacturing

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Path Tracing and Validation of Omni Wheeled Mini Robot Using Visual Feedback

Path Tracing and Validation of Omni Wheeled Mini Robot Using...

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International Conference on Advanced Computer Control, ICACC

作者： Aftaab Ahamed Karthik Jayaraj Shibin Fazil Nikitha S Sudheer A P Robotics Interest Group Mechatronics/Robotics Laboratory National Institute of Technology Calicut Mechanical Engineering Department Mechatronics/Robotics Laboratory National Institute of Technology Calicut

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

Holonomic drives are gaining popularity in many fields due to their versatility in various industrial applications. The ability of the holonomic drive robots to move in all directions makes it distinct from other drive mechanisms. Open-loop control of omnidirectional bots can be achieved with relative ease whereas automating it is not as easy. When trying to create an automated system with lower cost, off the shelf components and hardware, other problems may arise as a result of the poor performance of the components. Here a three wheeled omnidirectional robot that can trace a predefined path without human intervention has successfully been developed.

关键词： Location awareness Visualization Costs Service robots Debugging Drives Hardware Mobile robots Robots Wireless fidelity

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Towards Autonomous Robotic Grasping: 3D Point Cloud Analysis with Stereo Cameras in Unpredictable Environments

Towards Autonomous Robotic Grasping: 3D Point Cloud Analysis...

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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Patel, Shrey Kovarovics, Aiden More, Aaditya Chun, Carrington Fletcher, Montreal Tanveer, M. Hasan Chakravarty, Sumit Voicu, Razvan Kennesaw State University Dept. of Robotics & Mechatronics Engineering Marietta United States Kennesaw State University Dept. of Electrical and Computer Engineering Marietta United States

ISBN: (纸本)9798331504847

Current robotic arm systems typically depend on pretrained models or function within controlled environments using known positions or fiducial markers for object manipulation. Although these methods achieve high accuracy, they face limitations due to lengthy training processes and the need for carefully controlled setups. This research introduces a methodology that leverages stereo cameras to develop a generalized algorithm aimed at overcoming these constraints and enhancing robotic manipulation in uncontrolled environments. The proposed solution utilizes an Intel RealSense stereo camera in conjunction with YOLO segmentation models for initial object identification. It combines segmentation meshes with the camera's depth values to create a detailed three-dimensional point cloud of the target object's surface. This point cloud is analyzed through Random Sample Consensus (RANSAC) and geometry-based feature extraction techniques, which allow the algorithm to approximate the object's shape as a combination of fundamental 3D forms, such as cuboids, cylinders, and spheres. A grasp point is then estimated by identifying suitable surfaces for grasping with a two-pronged gripper, followed by calculating an optimal approach angle and position kinematics for the robotic arm. This innovative approach enables robotic arm systems to autonomously adapt to various objects in uncontrolled environments, significantly expanding their practical applications. For example, the methodology could support modular robotic systems designed for sample collection in extraterrestrial missions, where adaptability and autonomous operations are essential. Ultimately, this research aims to enhance the efficiency and capabilities of robotic systems in dynamic and unpredictable settings. © 2025 IEEE.

关键词： Robotic arms

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Probabilistic Modelling and Safety Assurance of an Agriculture Robot Providing Light-Treatment 19

Probabilistic Modelling and Safety Assurance of an Agricultu...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Adam, Mustafa Ye, Kangfeng Anisi, David A. Cavalcanti, Ana Woodcock, Jim Morris, Robert Robotics Group Faculty of Science & Technology Norway University of York Dept. of Computer Science United Kingdom Faculty of Engineering and Science Dept. of Mechatronics Norway Saga Robotics As Norway

ISBN: (纸本)9798350320695

Continued adoption of agricultural robots postulates the farmer's trust in the reliability, robustness and safety of the new technology. This motivates our work on safety assurance of agricultural robots, particularly their ability to detect, track and avoid obstacles and humans. This paper considers a probabilistic modelling and risk analysis framework for use in the early development phases. Starting off with hazard identification and a risk assessment matrix, the behaviour of the mobile robot platform, sensor and perception system, and any humans present are captured using three state machines. An auto-generated probabilistic model is then solved and analysed using the probabilistic model checker PRISM. The result provides unique insight into fundamental development and engineering aspects by quantifying the effect of the risk mitigation actions and risk reduction associated with distinct design concepts. These include implications of adopting a higher performance and more expensive Object Detection System or opting for a more elaborate warning system to increase human awareness. Although this paper mainly focuses on the initial concept-development phase, the proposed safety-assurance framework can also be used during implementation, and subsequent deployment and operation phases. © 2023 IEEE.

关键词： Agricultural robots

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Robotic Device for Active-Passive Mechanotherapy of the Ankle Joint

Robotic Device for Active-Passive Mechanotherapy of the Ankl...

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2024 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Safarov, Jamil Tistsov, Egor Jatsun, Sergey Azerbaijan Technical University Dept. Of Chemical And Metallurgical Engineering Baki Azerbaijan South-West State University Dept. Of Mechanics Mechatronics And Robotics Kursk Russia

ISBN: (纸本)9798350395013

This paper describes the design and control system of a robotic device for active-passive mechanotherapy of the ankle joint. The paper raises the question of the importance of these developments in modern rehabilitation, provides examples of work in this area, and also indicates the difficulties in organizing a control system for such a device, due to the spasticity and musculoskeletal contracture of the ankle joint, as well as the general uncertainty and individuality of the muscular system of the ankle joint during rehabilitation. The paper describes the design of the device, the location of the measuring modules, and the operating principle of the adaptive control system for this device. Data obtained during experimental studies are also presented and the influence of various factors during rehabilitation procedures on the behavior of the musculoskeletal system is described. This paper describes the mathematical modeling of the behavior of this system, and indicators of the stiffness and viscosity of the musculoskeletal system are derived, allowing the adaptation of device control algorithms. © 2024 IEEE.

关键词： Musculoskeletal system

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Spectral and Morphological Classification of Celestial Objects using Physics Informed Machine Learning

Spectral and Morphological Classification of Celestial Objec...

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robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE International Conference on

作者： Md Fairuz Siddiquee Md Mehedi Hasan Department of Robotics and Mechatronics Engineering University of Dhaka Dhaka Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

The classification of celestial objects has traditionally relied on spectral analysis, which involves identifying unique patterns in the light emitted or absorbed by the objects. In this study, we present a novel approach to categorizing celestial objects based on their spectral properties and morphological structures, leveraging physics-informed machine learning (PIML) techniques to enhance the classification accuracy and efficiency. In the spectral analysis, using Sloan Digital Sky Survey (SDSS) dataset, we classified stars, galaxies, and quasars, focusing on redshift and near-infrared values with i and z filters. Our analysis employed three machine learning models (K-Neighbors, SVM, Random Forest), and the performances were verified to be resilient applying hyperparameter tuning and cross-validation. The best-performing model, Random Forest Classifier, achieved 98% accuracy. In the morphological analysis, the YOLO v5 model was utilized on a customized dataset of astronomical images to further classify the Galaxy Class into five distinct categories and the YOLOv5 model detected those with an average precision of 92.6% and recall of 68.9%. In addition, the interpretability of the model is enhanced by the incorporation of physical knowledge, allowing astronomers to gain deeper insights into the underlying processes. Integrating physical knowledge into these ML models enhances interpretability, facilitating automated real-time analysis of big astronomical data and advancing our understanding of the cosmos.

关键词： YOLO Surveys Support vector machines Analytical models Accuracy Stars Spectral analysis Random forests Tuning Robots

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