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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Fang, Siyuan Fang, Zaojun Peng, Chengbin Zhang, Chi Yang, Guiling Ningbo University Ningbo Institute of Materials & Technology Engineering Chinese & Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo China Chinese & Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials & Technology Engineering Ningbo China Ningbo University College of Science & Technology Ningbo China

ISBN: (纸本)9798350312201

Respiration is the most notable vital sign of humans so that it is usually employed to diagnose disease in medicine. Recently, a solution is proposed to decrease the cost of healthcare using flexible stretchable sensors to monitor respiration. However, the sensor is difficult to test millions of cycles on a real human body, which is essential to ensure accuracy and repeatability in practical applications. In this paper, a new humanoid thoracic cavity that mimics rib expansion/constriction is exhibited. Then, a position control based on Fuzzy PID method is presented. Focused on the scenario, the performance between the common PID method and the Fuzzy PID method is investigated. Firstly, the position control based on the Fuzzy PID method is constructed by utilizing position output error and its rate. Then, three gain parameters of PID are adjusted online according to the established fuzzy rules. Finally, the above two methods are compared by simulation and experiments. In a simulation, the fuzzy PID control algorithm improves the response speed, shortens the adjustment time, and meets the requirements of the system for high response and high accuracy. Besides, an experiment is carried out on a humanoid chest prototype. the results show that the control period of the presented method is shortened by about 50% v.s. the traditional PID under the step signal input. Tracking marked points using a laser tracker, the maximum tracking error is 0.0523 mm, the minimum error is 0.0450 mm, and the average error is 0.0473mm. Therefore, the presented method is validated to improve the performance of the humanoid chest. © 2023 IEEE.

关键词： Position control

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Dark Vision Assistive Application for Deaf-Blind People 3

Dark Vision Assistive Application for Deaf-Blind People

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3rd International Conference on Computing and Information technology, ICCIT 2023

作者： Samuel, Prithi Dhanaraj, Rajesh Kumar Balusamy, Balamurugan Narmatha, C. Srm Institute of Science and Technology Department of Computational Intelligence Chennai India Pune India Shiv Nadar University Noida India University of Tabuk Industrial Innovation & Robotics Center Faculty of Computers and Information Technology Tabuk City Saudi Arabia

ISBN: (纸本)9798350321487

For visually impaired, deaf-blind people, both communication and navigation are difficult activities and indoor navigation is becoming increasingly harder for them. It is even more difficult for deaf-blind people than it is for non-visually impaired people. People with visual impairments or deaf- blindness frequently rely on external support systems to make judgments, such as trained canines, humans, or specialized equipment. As a result, deaf-blind people are in desperate need of an assistive application that allows blind people to navigate and communicate freely without relying on others. The goal of the application is to create a more adaptable and cost-effective system for deaf-blind and visually impaired people. Through both outdoor and interior applications, as well as walking in even unfamiliar locations without relying on others. © 2023 IEEE.

关键词： Image classification

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Simple method of failure detection of rotary machines

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Diagnostyka 2021年第4期22卷 17-22页

作者： Bielecki, Andrzej Bielecka, Marzena Jablonski, Adam Staszewski, Wojciech Institute of Computer Science Faculty of Exact and Natural Sciences Pedagogical University in Krakow Podchorazych 2 Krakow30-084 Poland Geoinformatics and Applied Computer Science Faculty of Geology Geophysics and Environmental Protection AGH University of Science and Technology Mickiewicza 30 Krakow30-059 Poland Robotics and Mechatronics Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Mickiewicza 30 Krakow30-059 Poland

In the paper a simple unsupervised monitoring method of rotary machines is proposed. The method consists of three stages multi-reference preliminary analysis of the vibration signals, auto-reference preliminary analysis and probabilistic analysis of the signals. The method was tested by using signals from eight simulated machines. The efficiency of the method has been positively verified. © 2021 Polish Society of Technical Diagnostics. All rights reserved.

关键词： Vibration analysis

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SYSTEMS AND APPLICATION MANAGEMENT IN HYBRID CLOUD INFRASTRUCTURES

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2025年第19期1卷 92-99页

作者： Țîțu, Aurel Mihail Toderici, Marius Stanciu, Andreea Lucian Blaga" University of Sibiu Faculty of Engineering Industrial Engineering and Management Department 10 Victoriei Street Sibiu550024 Romania National University of Science and Technology POLITEHNICA Bucharest Faculty of Industrial Engineering and Robotics Splaiul Independentei no. 313 6th District Bucharest Romania National Institute of Research and Development in Mechatronics and Measurement Technique – INCDMTM Șos. Pantelimon Nr. 6-8 Sector 2 Bucharest21358 Romania

Hardware resource management in a hybrid IT infrastructure combines the management of public cloud resources with the management of private cloud resources that are most often owned in the organization's on-premises infrastructure. According to the IBM Transformation Index, approximately 77% of organizations have adopted a hybrid IT infrastructure in the cloud. Hybrid cloud infrastructure combines the 3 types of IT infrastructures, namely: the organization's on-premises IT infrastructure, the IT infrastructure that forms the organization's private cloud, and the public cloud that is made available by cloud service providers. This combination of IT infrastructures comes with different challenges in terms of security, hardware and software compatibility, connectivity, and interoperability, all of which are managed by the IT team. Public cloud is easier to manage than private cloud because cloud service providers take care of the maintenance of the hardware infrastructure and provide services through which users can manage the infrastructure at the level of processing, storage, memory, etc. resources. but offers less control on the security side. The management of the hardware resources to which an organization has access is important in view of the fact that this environment can accommodate different services and applications that quickly circulate data between on-premises systems and the public or private cloud and that make different services of the organization available to internal and external users. Hybrid infrastructure management has become a challenge for many organizations from both a technical, economic and human point of view. © 2025 The Author(s). Published by Cefin Publishing House – Bucharest.

关键词： Cloud platforms

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Onboard Perception-Assisted High Fidelity Simulation Framework for Autonomous Planetary Soft-Landing

Onboard Perception-Assisted High Fidelity Simulation Framewo...

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AIAA science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Alibekov, Ulugbek Banerjee, Avijit Satpute, Sumeet Gajanan Nikolakopoulos, George ERASMUS MUNDUS JOINT MASTER in Intelligent Field Robotic Systems Faculty of Informatics Eötvös Loránd University Budapest Hungary Robotics and AI research group Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This article presents an onboard perception-assisted high-fidelity simulation framework for autonomous planetary soft-landing, enabling visual information processing tightly integrated with advanced onboard guidance system in a realistic simulation environments. Utilizing the open source Unity game engine, a physics-based simulation toolbox integrated with the Robotic Operating System (ROS2), we effectively emulate the motion of spacecraft approaching planetary terrain. The simulation environment features a realistic 3D terrain model and a lander spacecraft equipped with onboard camera to effectively capture detailed local terrain images. The simulation engine accurately captures the spacecraft’s 6-degrees of freedom motion, seamlessly integrating space craft orientation with the associated camera feed while incorporating various illumination conditions using a light source representing the Sun. To demonstrate the efficacy of the framework, we implement a recently developed attitude-constrained minimum jerk guidance algorithm to emulate spacecraft motion. Concurrently, the visual feed from the onboard RGB camera is processed through a gradient extraction-based perception system, providing the visual odometer. This system identifies provably safe landing sites, effectively avoiding potential risks of landing on uneven terrain. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Planetary landers

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A preliminary measurement verification of sound power level emitted by biomimetic drone propellers inspired by an owl’s feather

A preliminary measurement verification of sound power level ...

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International Carpathian Control Conference (ICCC)

作者： Piotr Książek Krzysztof Lalik Paweł Pasławski Michał Pietrzak Paweł Przejczowski Jan Przepióra Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Kraków Poland

The research issue addressed in the project is to investigate methods of reducing acoustic emissions of unmanned aerial vehicle propellers. S.O.W.A (Silent Observer of the Wild Animals) is an arrangement that mimics the structure of an owl’s feathers. Rotor blades based on owl feathers have been constructed to suppress the noise produced during flight. Acoustic emissions, were measured with accordance to ISO 3741:2010. Sound power level of different design variants was discussed.

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Smart IoT platform for Big Data analysis in predictive maintenance

Smart IoT platform for Big Data analysis in predictive maint...

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International Carpathian Control Conference (ICCC)

作者： Jan Przepióra Patryk Bałazy Piotr Książek Paweł Knap Paweł Pasławski Michał Pietrzak Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Kraków Poland

A smart IoT platform for big data analysis in predictive maintenance can help achieve goals of predictive maintenance by collection, processing, and analysis of data from various sensors. This platform can use machine learning algorithms and other advanced techniques to identify patterns and trends that can be used to predict when equipment is likely to fail, allowing maintenance teams to take proactive action to prevent those failures from occurring.

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Target Detection and Tracking of Survey Robots Using Multimodal Internet of Things Sensor data Fusion Using YOLOv5

Target Detection and Tracking of Survey Robots Using Multimo...

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Distributed Computing and Optimization Techniques (ICDCOT), International Conference on

作者： Chengjing Ye Miaoyong Wu Yefen Yang Ke Zhang Xinhua Bu Miaomiao Huang Faculty of Robotics Guangdong Polytechnic of Science and Technology Zhuhai Guangdong China Guangdong Polytechnic of Science and Technology and & Computer Engineering Technical College Zhuhai Guangdong China Guangdong Polytechnic of Science and Technology Faculty of Architectural Engineering Zhuhai Guangdong China

In recent years, due to the rapid development of computer vision technology, real-time detection and tracking of objects using computer vision has become a hot topic. Object detection mainly consists of two parts: object segmentation and object recognition, that is, object acquisition. Accurate detection of targets is the key to achieving high-precision and high-efficiency tracking. Based on the above discussion, this article explored the target detection and tracking of survey robots using the multimodal Internet of Things (IoT) sensor data fusion of YOLOv5, and compared and analyzed the performance of direct frame difference method, traditional ORB method, and the algorithm in this paper through experiments. The results indicated that the accuracy and recall of the robot image object detection algorithm proposed in this paper were both above 90%, and higher than other algorithms, indicating that the algorithm has extremely high accuracy in object detection.

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A Sentiment Analysis Study of Twitter Users' Reactions to the COVID-19 Vaccine 14

A Sentiment Analysis Study of Twitter Users' Reactions to th...

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14th International Conference on Information and Communication Systems, ICICS 2023

作者： Alkhushayni, Suboh Alomari, Zakaria Al-Zaleq, Du'a Yarmouk University Faculty of Information Technology and Computer Science Dept. Information Systems Irbid Jordan New York Institute of Technology Dept. Computer Science VancouverBC Canada Al-Ahliyya Amman University Dept. Robotics and Artificial Intelligence Engineering Amman Jordan

ISBN: (纸本)9798350307870

This study investigates public attitudes towards the COVID-19 vaccine through Twitter data analysis. Using the Twitter API, tweets were collected, preprocessed, and labeled. Features were extracted using the Bag of Words representation, and sentiment analysis was conducted using Text Blob and Vader. Machine learning and deep learning models were trained and tested, revealing that deep learning models achieved the highest accuracy and F1 score. The research underscores the efficacy of machine learning and deep learning in analyzing COVID-19 vaccine-related tweets, shedding light on factors influencing vaccine resistance. These insights are crucial for pharmaceutical companies and public health officials, enabling them to address barriers to vaccine acceptance and enhance the societal benefits of widespread vaccination, contributing to the pandemic's resolution. © 2023 IEEE.

关键词： COVID-19

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DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity

DexGrip: Multi-modal Soft Gripper with Dexterous Grasping an...

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IEEE International Conference on Soft robotics (RoboSoft)

作者： Xing Wang Liam Horrigan Josh Pinskier Ge Shi Vinoth Viswanathan Lois Liow Tirthankar Bandyopadhyay Jen Jen Chung David Howard Data61 CSIRO CSIRO Robotics Australia Faculty of Science and Technology University of Canberra Australia University of Queensland Australia

ISBN: (数字)9798331520205

ISBN: (纸本)9798331520212

The ability of robotic grippers to not only grasp but also re-position and re-orient objects in-hand is crucial for achieving versatile, general-purpose manipulation. While recent advances in soft robotic grasping has greatly improved grasp quality and stability, their manipulation capabilities remain under-explored. This paper presents the DexGrip, a multi-modal soft robotic gripper for in-hand grasping, reorientation and manipulation. DexGrip features a 3 Degrees of Freedom (DoFs) active suction palm and 3 active (rotating) grasping surfaces, enabling soft, stable, and dexterous grasping and manipulation without ever needing to re-grasp an object. Uniquely, these features enable complete 360 ○ rotation in all three principal axes. We experimentally demonstrate these capabilities across a diverse set of objects and tasks. DexGrip successfully grasped, re-positioned, and re-oriented objects with widely varying stiffnesses, sizes, weights, and surface textures; and effectively manipulated objects that presented significant challenges for existing robotic grippers.

关键词： Translation Shape Grasping Soft robotics Belts Rocks Stability analysis Surface texture Grippers Testing

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