Article
Engineering, Multidisciplinary
Kimiya Azimbeik, Seyed Hossein Mahdavi, Fayaz Rahimzadeh Rofooei
Summary: The aim of this study is to enhance image-based, full-field displacement measurement using new template-matching and camera-calibration methods. Practical methods to increase the number of pixels in the images, using free markers and improving camera-calibration methods are also investigated.
Article
Agriculture, Multidisciplinary
Rodrigo P. Ramos, Jessica S. Gomes, Ricardo M. Prates, Eduardo F. Simas Filho, Barbara J. Teruel, Daniel dos Santos Costa
Summary: The San Francisco Valley region from Brazil is famous for its high quality grapes and wines, thanks to its favorable climate and harvesting time. This study successfully utilized deep-learning models to define the maturation stage of Syrah and Cabernet Sauvignon grapes with high accuracy, reaching 93.41% and 72.66% respectively.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2021)
Article
Engineering, Aerospace
Rong-yu Sun, Pei-pei Yu, Wei Zhang
Summary: This paper proposes a technique based on precise point spread function modeling for high accuracy position measurement of resident space objects. By extracting dominant components from raw images using principal component analysis, constructing an optimal model, and estimating the position with a centering algorithm, the image processing and data reduction are optimized. Experimental results demonstrate the efficiency and reliability of the proposed method.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Yongbin Song, Wenjie Tian, Yanling Tian, Xianping Liu
Summary: Calibration is a practical technique for improving robot accuracy, but it cannot fully eliminate the pose error in robots with fewer than six degrees of freedom (DOF). This paper introduces a novel task-oriented concept for calibration, which matches the uncompensable pose error with the unconsidered pose error during the task. The paper also presents a calibration methodology for a 5-DOF hybrid machining robot, showing significant reduction in position/orientation errors and improved high-precision metal-cutting capacity.
Article
Chemistry, Analytical
Mazhar Hussain, Mattias O'Nils, Jan Lundgren
Summary: This study proposes the use of a multi-camera setup to estimate the length of free-falling molten objects, accurately characterizing small dynamic changes and dynamically measuring geometric parameters at a frame rate of 600 frames per second.
Article
Agriculture, Multidisciplinary
James Y. Kim
Summary: IMAP is a customized analytic tool for high throughput image processing and plot-level metrics of plant phenotypes through GIS interface, geometric and radiometric calibrations. It was successfully deployed on aerial images collected by UAV and MAV in soybean fields, showing high consistency in calculating plot-level metrics and accelerating the phenotyping pipeline.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Chemistry, Analytical
Crislaine Bertoldi, Larissa Z. Lara, Adriano A. Gomes, Andreia N. Fernandes
Summary: The study developed a simple procedure to determine the abundance of microplastics using digital image processing and chemometric treatment, showing potential to quantify microplastics based on their color, which can help reduce time-consuming and subjective future analyses.
MICROCHEMICAL JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Federico Pedersini
Summary: This article introduces a method for dynamic calibration using a simple and low-cost setup, where the accelerometer is calibrated on a tilted freely-rotating bench. The method does not require any prior knowledge about the rotation of the bench and only requires the distance between the sensor and the rotation axis. Through testing on synthetic and real data, the method is proven to have no estimation biases and high accuracy.
IEEE SENSORS JOURNAL
(2022)
Article
Astronomy & Astrophysics
P. Benthem, R. Wayth, E. de Lera Acedo, K. Zarb Adami, M. Alderighi, C. Belli, P. Bolli, T. Booler, J. Borg, J. W. Broderick, S. Chiarucci, R. Chiello, L. Ciani, G. Comoretto, B. Crosse, D. Davidson, A. DeMarco, D. Emrich, A. van Es, D. Fierro, A. Faulkner, M. Gerbers, N. Razavi-Ghods, P. Hall, L. Horsley, B. Juswardy, D. Kenney, K. Steele, A. Magro, A. Mattana, B. McKinley, J. Monari, G. Naldi, J. Nanni, P. Di Ninni, F. Paonessa, F. Perini, M. Poloni, G. Pupillo, S. Rusticelli, M. Schiaffino, F. Schilliro, H. Schnetler, R. Singuaroli, M. Sokolowski, A. Sutinjo, G. Tartarini, D. Ung, J. G. Bij de Vaate, G. Virone, M. Walker, M. Waterson, S. J. Wijnholds, A. Williams
Summary: The design and development process of the SKA radio telescope's Low Frequency Aperture Array component was conducted by an international consortium during the pre-construction phase. A full-sized prototype SKA Low 'station' called the Aperture Array Verification System 1 (AAVS1) was deployed, with detailed commissioning results and a comprehensive system overview provided.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Ecology
Pengyu Shan, Wan Sun
Summary: This study designed a new landscape planning effect simulation system based on virtual reality technology and 3D image processing technology, which can improve the clarity of landscape design images and achieve virtual construction and display. The system has clear design effects, high scores, and low application costs, low energy consumption, and high operation efficiency.
ECOLOGICAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Andre Sobiecki, Julius van Dijk, Hidde Folkertsma, Alexandru Telea
Summary: The study found that face verification methods perform well on standardized face images, but face challenges on low resolution, poor lighting, and non-standard face positions. Less than half of face restoration methods help with face verification, with some methods with lower quality evaluations actually being the most helpful. Experiments show that face verification works less effectively as resolution decreases.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Software Engineering
Bi Ye, Yuichiro Fujimoto, Taishi Sawabe, Masayuki Kanbara, Hirokazu Kato
Summary: Lenslet array near-eye displays are capable of generating virtual images in the field of view, but can cause artifacts when the user's pupil moves outside the practical movable region. Despite dynamic image updating based on eye-tracking, artifacts can still be perceived during rapid eye movements.
Article
Chemistry, Analytical
Jaap Velthuis, Yutong Li, Jordan Pritchard, Chiara De Sio, Lana Beck, Richard Hugtenburg
Summary: Intensity-modulated radiotherapy is a widely used technique for targeting cancerous tumours accurately. Monolithic active pixel sensors can be used for real-time monitoring during treatment. A large-scale demonstrator system consisting of a matrix of sensors has been developed and shown to provide high position resolution and dose accuracy.
Article
Multidisciplinary Sciences
David McFadden, Brad Amos, Rainer Heintzmann
Summary: The article proposes a practical method for radiometrically calibrating cameras using gaseous tritium light sources, which can gauge the quantum efficiency. The design is easily reproducible and suitable for common image sensors, potentially serving as a useful tool in microscopy facilities and optical laboratories.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Engineering, Mechanical
Chang Peng, Chang Liu, Zhenhao Liao, Bao Yang, Liqun Tang, Lei Yang, Zhenyu Jiang
Summary: This paper introduces an automatic procedure to extract structure information from 3D images and generate reliable geometric models for finite element (FE) modeling. The self-adaptive algorithms used in this method efficiently establish high-fidelity FE models that reproduce the mechanical behavior and deformation characteristics of aluminum foams. The accuracy of digital volume correlation (DVC) in measuring deformation of complex cellular materials is also quantitatively evaluated based on the equivalent displacement vector defined by comparing results obtained from FE simulation and DVC for the first time.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
Summary: In Industry 5.0, Digital Twins provide flexibility and efficiency for smart manufacturing. Deep learning techniques are used to enhance the Digital Twin framework, enabling the detection and classification of human operators and robots during the manufacturing process. The framework shows promising results in accurately detecting and classifying actions of human operators and robots in various scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yi Liu, Junpeng Qiu, Jincheng Wang, Junhe Lian, Zeran Hou, Junying Min
Summary: In this study, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles. Synchronized laser heating and iterative path compensation method were used to reduce forming forces and achieve high-precision forming.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Summary: This paper proposes a digital twin system for human-robot collaboration (HRC) that overcomes the limitations of current methods and improves the overall performance. The system includes a human mesh recovery algorithm and uncertainty estimation to enhance the system's capabilities. Experimental results demonstrate the superiority of the proposed methods over baseline methods. The feasibility and effectiveness of the HRC system are validated through a case study involving component assembly.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
Summary: This paper proposes a highly reliable and accurate collision estimator for robot manipulators in human-robot collaborative environments using the Bayesian approach. By assuming robot collisions as dynamic Markov processes, the estimator can integrate prior beliefs and measurements to produce current beliefs in a recursive form. The method achieves compelling performance in collision estimation with high accuracy and no false alarms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Meng Wang, Kaixuan Chen, Panfeng Wang, Yimin Song, Tao Sun
Summary: In this study, a novel teleoperation machining mode and control strategy were proposed to improve efficiency and accuracy in small batch production of large casting parts. By using variable motion mapping and elastic compensation, constant cutting force was achieved, and the workpiece was protected by employing forbidden virtual fixtures and movement constraints on the slave robot.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Summary: This paper presents a novel algorithm for planning a five-axis inspection path for arbitrary freeform surfaces. By converting the inspection path planning problem into a set-covering problem, the algorithm generates a near-minimum set of inspection paths that satisfy necessary constraints. Both computer simulation and physical inspection experiments confirm the effectiveness and advantages of the proposed method.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper introduces a novel framework based on deep reinforcement learning for generating machining process routes for designated parts. The framework utilizes graph representations of parts and employs convolutional graph neural networks for effective processing. Experimental results demonstrate the ability of the proposed method to generate efficient machining process routes and overcome limitations of traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Summary: Future manufacturing will witness a shift towards collaboration and compassion in human-robot relationships. To enable seamless knowledge transfer, a unified knowledge representation system that can be shared by humans and robots is essential. The Human-Robot Shared Assembly Taxonomy (HR-SAT) proposed in this study allows comprehensive assembly tasks to be represented as a knowledge graph that is understandable by both humans and robots. HR-SAT incorporates rich assembly information and has diverse applications in process planning, quality checking, and human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Jianhui He, Lefeng Gu, Guilin Yang, Yiyang Feng, Silu Chen, Zaojun Fang
Summary: This paper presents a new modular kinematic error model for collaborative robots and proposes a portable self-calibration device to improve their positioning accuracy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongwei Sun, Jixiang Yang, Han Ding
Summary: This paper proposes an asymmetrical FIR filter-based tool path smoothing algorithm to fully utilize the joint drive capability of robot manipulators. The algorithm considers the pose-dependent dynamics and constraints of the robot and improves motion efficiency by over 10% compared to traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Dongsheng Ge, Huan Zhao, Yiwei Wang, Dianxi Li, Xiangfei Li, Han Ding
Summary: This paper focuses on learning a stable force control policy from human demonstration during contact transients. Based on the analysis of human demonstration data, a novel human-inspired force control strategy called compliant dynamical system (CDS) is proposed. The effectiveness of the proposed method is validated through simulation and real-world experiments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo
Summary: This study models the stiffness of a robot and modifies the tool influence function (TIF) with the Preston equation in order to achieve uniform surface quality in robotic bonnet polishing (RBP) of optical components. Experimental results validate the accuracy of the modified model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Mario D. Fiore, Felix Allmendinger, Ciro Natale
Summary: This paper presents a constraint-based programming framework for task specification and motion optimization. The framework can handle constraints on robot joint and Cartesian coordinates, as well as time dependency. It also compares with existing methods and provides numerical support through illustrative examples and case studies.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Chungang Zhuang, Haoyu Wang, Han Ding
Summary: This article proposes an end-to-end pipeline for synchronously regressing potential object poses from an unsegmented point cloud. It extracts point pair features and uses a voting architecture for instance feature extraction, along with a 3D heatmap for clustering votes and generating center seeds. An attention voting module is also employed to adaptively fuse point-wise features into instance-wise features. The network demonstrates robustness and improved performance in pose estimation.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)