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Development of a navigation performance evaluation system

science China(Information sciences) 2020年第12期63卷 263-265页

作者： Fangfang ZHAO Wei ZHANG Shuzhi Sam GE School of Computer Science and Engineering Center for RoboticsUniversity of Electronic Science and Technology of China Department of Electrical and Computer Engineering National University of Singapore Institute for Future (IFF) Qingdao University

Dear editor,Owing to little exploration experience and great technical difficulty of deep space exploration autonomous navigation, the corresponding navigation performance evaluation system is seldom perfected [1].

关键词： Autonomous navigation Performance evaluation Evaluation system Evaluation indicator Evaluation method

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Design of an Automatic Price Tag System for Web-Based Retail Business 9

Design of an Automatic Price Tag System for Web-Based Retail...

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9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Liawatimena, Suryadiputra Gunawan, Devina Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Computer Science Deparment BINUS Graduate Program Master of Computer Science Jakarta11480 Indonesia Bina Nusantara University Automotive & Robotics Program Computer Engineering Department BINUS ASO School of Engineering Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

Modern retail businesses face a significant challenge with the inefficiency of manually changing price labels on shelves. This manual process not only consumes valuable time and resources but also increases the likelihood of errors, leading to potential inaccuracies in pricing and a less streamlined shopping experience for customers. The proposed solution is the implementation of an Electronic Shelf Label (ESL) system that automatically displays the prices of goods on retail business shelves. This system connects a website (front end and back end) to e-paper via a Wi-Fi network and microcontroller, allowing retail business owners to update prices more easily. Additionally, buyers can search for desired items through the website. The results are the time to send data from the website to the e-paper, namely, to know the performance of the e-paper used. The average time required from 10 attempts to send data from the website to the e-paper is 20.935 seconds. Since the data is connected to the server and will be updated automatically, using this system will be more efficient than manually changing the price label, although it takes time to transfer data from the website to the e-paper. © 2024 IEEE.

关键词： Sales

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POSITIONING OF UNKNOWN FLEXIBLE PAYLOADS FOR ROBOTIC ARMS USING A WRIST-MOUNTED FORCE/TORQUE SENSOR

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IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 1995年第2期3卷 189-201页

作者： JAIN, S KHORRAMI, F Control /Robotics Research Laboratory School of Electrical Engineering and Computer Science Polytechnic University Brooklyn NY USA

The Problem of control design for robotic arms manipulating unknown flexible payloads is considered in this paper, A novel scheme utilizing a force/torque sensor at the wrist of the manipulator is utilized, This choice of sensor is adequate to glean information about payload vibrations without outfitting the payload with sensors and offers the additional advantage of furnishing a minimum phase system, thus simplifying the control design, A controller utilizing wrist torque feedback from the sensor is designed as a function of the system parameters, An adaptive scheme for on-line identification of these parameters and adaptation of controller parameters is discussed, The proposed scheme is generic in regard to the nature of the flexible payload, as is shown through simulation studies, The scheme is implemented on a single-link manipulator carrying an unknown flexible payload, Simulation and experimental results validate the fact that the adaptive control maintains a robust performance for high speed slewing and varying payloads.

关键词： Payloads Arm Sensor systems Robot sensing systems Control design Wrist Adaptive control Force sensors Torque Manipulators

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A computer VISION TECHNIQUE FOR SURFACE CURVATURE GAUGING WITH PROJECTED GRATING

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1986年第2期33卷 158-161页

作者： HUNG, YY CHENG, SK LOH, NK Center of Robotics and Advanced Automation School of Engineering and Computer Science Oakland University Rochester MI USA

A computer vision-based technique for surface curvature gaging is reported in this paper. This non-contact technique utilizes the projection of a grating upon the surface to be gaged. A general purpose digital image p... 详细信息

关键词： computer vision Gratings Surface topography Digital images Shape Inspection Data mining robotics and automation Computational modeling Productivity

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High endurance, micro aerial surveillance and reconnaisance robot

High endurance, micro aerial surveillance and reconnaisance ...

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2011 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2011

作者： Ratti, Jayant Vachtsevanos, George Robotics Program School of Electrical and Computer Engineering United States School of Electrical and Computer Engineering United States

ISBN: (纸本)9781612844824

Micro Aerial Vehicles (MAVs) have gained a significant amount of research lately, with a number of universities and industry sponsors paving the way with micro flying robots to perform Intelligence, Surveillance and Reconnaissance (ISR) Missions. However, much of the work done in flapping wing MAVs till date has not shown performance improvements over their VTOL, rotary-wing counterparts. Research and development over the years has shown that insects and birds have unmatched flying capabilities in the Low Reynolds Number Regime. Their phenomenal flight performance is attributed to among others the highly energy efficient actuation systems & their power to weight ratios, efficient aerodynamics & wing configurations, novel & high-speed flight-control and processing. The paper proposes and illustrates the developments thus far towards the design of a novel, high endurance, flapping wing micro aerial robot for surveillance and reconnaissance. The entire design and development efforts, including aerodynamics, actuation-mechanisms, flight controls, embedded controls & processing and finally flight testing is abridged and presented herein. © 2011 IEEE.

关键词： Aerodynamics

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From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction

arXiv

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arXiv 2025年

作者： Acar, Ayberk Smith, Mariana Al-Zogbi, Lidia Watts, Tanner Li, Fangjie Li, Hao Yilmaz, Nural Scheikl, Paul Maria d’Almeida, Jesse F. Sharma, Susheela Branscombe, Lauren Ertop, Tayfun Efe Webster, Robert J. Oguz, Ipek Kuntz, Alan Krieger, Axel Wu, Jie Ying Department of Computer Science Vanderbilt University NashvilleTN37235 United States Department of Mechanical Engineering Johns Hopkins University BaltimoreMD21211 United States Robotics Center Kahlert School of Computing University of Utah Salt Lake CityUT84112 United States Department of Mechanical Engineering Vanderbilt University NashvilleTN37235 United States Virtuoso Surgical NashvilleTN37205 United States Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee KnoxvilleTN37996 United States

Surgical automation requires precise guidance and understanding of the scene. Current methods in the literature rely on bulky depth cameras to create maps of the anatomy, however this does not translate well to space-limited clinical applications. Monocular cameras are small and allow minimally invasive surgeries in tight spaces but additional processing is required to generate 3D scene understanding. We propose a 3D mapping pipeline that uses only RGB images to create segmented point clouds of the target anatomy. To ensure the most precise reconstruction, we compare different structure from motion algorithms’ performance on mapping the central airway obstructions, and test the pipeline on a downstream task of tumor resection. In several metrics, including post-procedure tissue model evaluation, our pipeline performs comparably to RGB-D cameras and, in some cases, even surpasses their performance. These promising results demonstrate that automation guidance can be achieved in minimally invasive procedures with monocular cameras. This study is a step toward the complete autonomy of surgical robots. © 2025, CC BY-NC-ND.

关键词： Image segmentation

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Compressive and energy absorption properties of titanium hybrid lattice structures for bioimplant applications fabricated via LPBF

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Materials and Design 2025年 254卷

作者： Karmiris-Obratański, Panagiotis Georgakopoulos-Soares, Ilias Cichocki, Kamil Lisiecka-Graca, Paulina Papazoglou, Emmanouil L. Advanced Manufacturing Laboratory Department of Manufacturing Systems Faculty of Mechanical Engineering and Robotics AGH University of Krakow Krakow Poland School of Chemical Engineering Department of Materials Science and Engineering National Technical University of Athens Heroon Polytechniou 9 Athens15780 Greece Institute for Personalized Medicine Department of Biochemistry and Molecular Biology The Pennsylvania State University College of Medicine HersheyPA United States Faculty of Metals Engineering and Computer Science AGH University of Krakow Adama Mickiewicza Ave. 30 Kraków30-059 Poland School of Mechanical Engineering Section of Manufacturing Technology National Technical University of Athens Heroon Polytechniou 9 Athens15780 Greece

The compressive properties of lattice structures are strongly influenced by lattice design, density, material, and manufacturing method. Recent advancements in manufacturing, particularly Additive Manufacturing, have enabled the fabrication of complex lattice structures from advanced materials. Building on this progress, the present study investigates the compressive properties and energy absorption capabilities of four distinct lattice structures at three relative densities (20 %, 30 %, and 40 %), specifically tailored for implant applications. The lattices, fabricated from Ti6Al4V ELI alloy using the Laser Powder Bed Fusion (LPBF) method, include a hybrid Fluorite-BCC lattice, a SplitP TPMS skeletal lattice, a stochastic Voronoi lattice, and a hybrid Voronoi-TPMS Gyroid lattice. Compressive properties, including the Elastic Modulus of Compression (EMC), Compressive Yield Strength, and Ultimate Compressive Strength, were systematically analyzed alongside energy absorption capabilities. The Gibson-Ashby model was employed to quantify the relationship between compressive properties and relative density. Additionally, Digital Image Correlation and high-resolution imaging during compression tests provided detailed insights into deformation mechanisms and collapse behavior. The findings offer valuable insights into the compressive performance of these novel hybrid lattices, highlighting their potential applicability in bioimplant applications, with the Fluorite-BCC lattice exhibits the highest EMC and the Fluorite-BCC and SplitP lattices exhibit higher energy absorption capabilities. © 2025 The Author(s)

关键词： Machinability

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Medical Image Segmentation by Improved Nested Unet 2nd

Medical Image Segmentation by Improved Nested Unet

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2nd International Conference on Intelligent Systems and Data science, ISDS 2024

作者： Tran, Song-Toan Le, Minh-Hai Nguyen, Thai-Son Nghi, Vinh-Khanh Nguyen, Thanh-Nguyen School of Engineering and Technology Tra Vinh University Tra Vinh87000 Viet Nam Resource Development Institute Tra Vinh University Tra Vinh87000 Viet Nam PhD program in Computer Science Tra Vinh University Tra Vinh87000 Viet Nam Facilities Management Department Tien Giang University Tien Giang84000 Viet Nam

ISBN: (纸本)9789819796120

Deep learning is revolutionizing the field of medical image segmentation. The U-shaped (Unet) model, with its encoder-decoder architecture and skip connections, has become the dominant architecture for this task. However, variations like Nested-Unet are necessary to address the challenge of adapting network size for datasets of varying scales. This study proposes a novel model based on a multilayer Unet architecture that leverages all output features within nodes of a Nested Unet network. We evaluate the proposed model on four key medical image datasets: electron microscopy (EM), nuclei, polyps (CVC-ClinicDB), and skin lesions. The model achieves impressive Dice scores: 94.08% for EM, 92.68% for nuclei, 87.20% for skin lesions, and 93.02% for the CVC-ClinicDB dataset. These outstanding results demonstrate the superior performance of our proposed model compared to recent advancements in the field. Remarkably, the model achieves this performance while maintaining a size that is half that of a traditional Unet model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Image segmentation

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Supporting the Pedagogical Assessment Process in Educational Institutions with Social Background Data Analysis and WTCAi System Integration

Supporting the Pedagogical Assessment Process in Educational...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Éva Karl György Molnár József Cserkó Beáta Orosz Eniko Nagy Várkerti Primary School Várpalota Hungary Széchenyi University Doctoral School of Multidisciplinary Engineering Sciences (MMTDI) Győr Hungary Kandó Kálmán Faculty of Electrical Engineering Budapest Óbuda University Hungary János Faculty of Humanities Education and Social Sciences Széchenyi University Apáczai Csere Győr Hungary GAMF Faculty of Engineering and Computer Science John Von Neumann University Kecskemét Hungary Óbuda University Doctoral School of Innovation Management Budapest Hungary Antal Bejczy Center for Intelligent Robotics John von Neumann Faculty of Informatics Óbuda University Budapest Hungary

ISBN: (数字)9798350379365

ISBN: (纸本)9798350379372

Primary educational institutions aim to prepare children for further education and successful integration into the workforce. To consistently achieve this, they must meet the demands and expectations imposed by the constantly changing economic and social environments. Research shows that applying a constructive pedagogical approach is the most successful path, best fitting the expectations above. An essential and integral part of the educational process is the pedagogical supervision and evaluation procedure, aimed to assess performance and improve and support the learning process. A sad feature of the current system is that it needs to support individual learning paths sufficiently. Additionally, communication issues arising from the generational gap between teachers and students jeopardize the validity of the assessment tools. Educational institutions' advancement and continuous development can only be realized if the pedagogical supervision and evaluation system progresses and evolves to meet new challenges. Our research aims to develop such a method. We are working on creating a complex evaluation method supported by artificial intelligence (WTCAi - When The Child Ask with AI), which suggests appropriate items for assessment and evaluation to subject teachers. To achieve our main objective, we have planned to collect additional social background data from our students. Through analyzing these data, we hope to uncover numerous correlations that significantly influence the obtained data and results, thereby steering the development of the supervision-evaluation system in the most appropriate direction.

关键词： Economics Data analysis Correlation Fitting Education System integration Artificial intelligence Informatics Machine intelligence

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Exploiting the Intrinsic Neighborhood Semantic Structure for Domain Adaptation in EEG-based Emotion Recognition

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IEEE Transactions on Affective Computing 2025年

作者： Yang, Yi Wang, Ze Song, Yu Jia, Ziyu Wang, Boyu Jung, Tzyy-Ping Wan, Feng Macau University of Science and Technology Macao Centre for Mathematical Sciences Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications Faculty of Innovation Engineering 999078 China Tianjin University of Technology School of Electrical Engineering and Automation Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin300384 China Chinese Academy of Sciences Beijing Key Laboratory of Brainnetome and Brain-Computer Interface and Brainnetome Center Institute of Automation Beijing100045 China Western University Department of Computer Science Brain Mind Institute LondonONN6A 3K7 Canada University of California at San Diego Swartz Center for Computational Neuroscience Institute for Neural Computation La Jolla CA92093 United States University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology China University of Macau Centre for Cognitive and Brain Sciences Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation 999078 China

Due to the inherent non-stationarity and individual differences present in electroencephalogram (EEG) signals, developing a generalizable model that performs well on new subjects is challenging in EEG-based emotion recognition. Most existing domain adaptation (DA) methods typically mitigate these discrepancies by aligning the marginal distributions of domain feature representations. However, when there is a significant difference in the class-conditional distribution between domain features and labels, the domain-invariant features learned by aligning marginal distributions may have limited discriminative ability for unlabeled target instances or even prove counterproductive. To address this issue, we propose a Neighborhood Semantic Aware Learning-based Dynamic Graph Attention Convolution (NSAL-DGAT) approach that learns target semantic information by considering the inter-domain semantic topological structure, thereby improving classifier adaptation for target instances. Specifically, the proposed NSAL framework is designed to capitalize on the insight that after domain feature alignment, some target samples and their neighboring source samples exhibit similar semantics. By leveraging the neighborhood topological structure, we extract and incorporate semantic target features to train a more transferable classifier. Besides, we implement an entropy weighting mechanism to emphasize representative target semantic information, encouraging target instances to prioritize high-confidence individuals within the source neighborhood. We have conducted extensive experiments on the public SEED dataset and our collected the Hearing-Impaired EEG Dataset (HIED). The experimental results underscore the efficacy of our proposed NSAL-DGAT approach, showcasing state-of-the-art accuracy in subject-dependent as well as subject-independent scenarios. The source code is available at https://***/YYingDL/NSAL-DGAT. © 2010-2012 IEEE.

关键词： Speech analysis

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