查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in robotic s. According to news reporting originating from Faisalabad, Pakistan, by NewsRx correspondents, research stated, "Selecting the right actuator for a portable ex oskeleton involves a comprehensive evaluation of various design characteristics. " Our news correspondents obtained a quote from the research from University of En gineering and Technology Lahore: "In this study, we introduce a methodology for actuator selection based on specific tasks, enhancing the practical adoption of portable exoskeletons. By examining a range of candidate actuators designed for lower limb exoskeletons, our objective is to engineer a system that is both ligh tweight and power-efficient. These candidate actuators, developed by integrating diverse motors and transmission systems, were rigorously tested against defined tasks. Our methodology, applied to an assistive exoskeleton catered to the elde rly, showed its potential in tailoring an efficient system with matching capabil ities. The obtained results indicated that the ideal configuration achieved redu ctions in weight and power requirements by 35% and 80% , respectively." According to the news reporters, the research concluded: "The present research d elineates a strategic approach for actuator selection in portable exoskeletons, contributing to the evolution of high-performing assistive devices."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics - Robotics and Automation is now available. According to news originating from Cambridge, Mass achusetts, by NewsRx correspondents, research stated, "We present a novel convex formulation that models rigid and deformable bodies coupled through frictional contact. The formulation incorporates a new corotational material model with pos itive semi-definite Hessian, which allows us to extend our previous work on the convex formulation of compliant contact to model large body deformations." Financial support for this research came from Toyota Research Institute. Our news journalists obtained a quote from the research from Toyota Research Ins titute, "We rigorously characterize our approximations and present implementatio n details. With proven global convergence, effective warm-start, the ability to take large time steps, and specialized sparse algebra, our method runs robustly at interactive rates. We provide validation results and performance metrics on c hallenging simulations relevant to robotics applications."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Washington, Distr ict of Columbia, by NewsRx correspondents, research stated, "Current and future developments in artificial intelligence (AI) systems have the capacity to revolu tionize the research process for better or worse." The news journalists obtained a quote from the research from George Washington U niversity: "On the one hand, AI systems can serve as collaborators as they help streamline and conduct our research. On the other hand, such systems can also be come our adversaries when they impoverish our ability to learn as theorists, or when they lead us astray through inaccurate, biased, or fake information." According to the news reporters, the research concluded: "No matter which angle is considered, and whether we like it or not, AI systems are here to stay. In th is curated discussion, we raise questions about human centrality and agency in t he research process, and about the multiple philosophical and practical challeng es we are facing now and ones we will face in the future."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting originating from Xuzhou, People's Republic of China, by NewsRx correspondents, research stated, "Because large oil-immerse d transformers are enclosed by a metal shell, the on-site localization means it is difficult to achieve the accurate location of the patrol micro-robot inside a given transformer." Financial supporters for this research include National Natural Science Foundati on of China; Natural Science Foundation of Shandong Province. The news reporters obtained a quote from the research from China University of M ining and Technology: "To address this issue, a spatial ultrasonic localization method based on wavelet decomposition and PHATb- g generalized cross correlation is proposed in this paper. The method is carried out with a five-element stereo ultrasonic array for the location of a transformer patrol robot. Firstly, the l ocalization signal is decomposed into wavelet coefficients of different scales, which would realize the adaptive decomposition of the frequency of the localizat ion signal from low frequencies to high frequencies. Then, the wavelet coefficie nts are denoised and reconstructed by using the semi-soft threshold function. Se cond, a modified phase transform-beta-gamma (PHAT-b-g) method is used to calcula te the exact time delay between different sensors by increasing the weights of t he PHAT weighting function and introducing a correlation function."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news originating from Nanchang, People's Republic of C hina, by NewsRx editors, the research stated, "Smart health monitoring systems h ave been made possible by the internet of things (IoT). A person's physical and emotional well-being can be tracked by these health monitoring systems." Our news journalists obtained a quote from the research from the Nanchang Instit ute of Technology, "The flow of quantum light through an integrated photonic cir cuit ultimately determines the scalability of various photonic quantum informati on processing devices. Purpose of this study is to use a machine learning (ML) m ethod to build music signal analysis coupled with an optical sensor in a health monitoring system. Quantum photonics and the optical sensor paradigm in health m onitoring are used to analyse music signals. The reinforcement gradient vector M arkov propagation model has been used to assess the observed data based on optic al sensors (RGVMP). the experimental analysis is carried out based on various mu sic signal based optical sensor health monitoring data in terms of training accu racy, mean average precision, F-1 score, RMSE, AUC. The suggested model's stegan ography and steganalysis quantum circuits were all simulated, tested, and assess ed using various audio files."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mental Health Diseases and Conditions - Bipolar Disorders is the subject of a report. According to new s reporting originating in Wenzhou, People's Republic of China, by NewsRx journa lists, research stated, "Early detection of bipolar depression (BPD) and major d epressive disorder (MDD) has been challenging due to the lack of reliable and ea sily measurable biological markers. This study aimed to investigate the accuracy of discriminating patients with mood disorders from healthy controls based on t ask state skin potential characteristics and their correlation with individual i ndicators of oxidative stress." The news reporters obtained a quote from the research from the Third Affiliated Hospital of Wenzhou Medical University, "A total of 77 patients with BPD, 53 pat ients with MDD, and 79 healthy controls were recruited. A custom-made device, pr eviously shown to be sufficiently accurate, was used to collect skin potential d ata during six emotion-inducing tasks involving video, pictorial, or textual sti muli. Blood indicators reflecting individual levels of oxidative stress were col lected. A discriminant model based on the support vector machine (SVM) algorithm was constructed for discriminant analysis. MDD and BPD patients were found to h ave abnormal skin potential characteristics on most tasks. The accuracy of the S VM model built with SP features to discriminate MDD patients from healthy contro ls was 78% (sensitivity 78%, specificity 82% ). The SVM model gave an accuracy of 59% (sensitivity 59% , specificity 79%) in classifying BPD patients, MDD patients, and h ealthy controls into three groups. Significant correlations were also found betw een oxidative stress indicators in the blood of patients and certain SP features ."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news reporting from Rende, Italy, by NewsRx journa lists, research stated, "This paper delineates the design and realization of a W heelchair-Mounted Robotic Arm (WMRA), envisioned as an autonomous assistance app aratus for individuals encountering motor difficulties and/or upper limb paralys is." Project New Frontiers in Adaptive Modular Robotics For Patient-centred Medical R ehabilitationasklepios; European Union-nextgenerationeu And Romanian Government , Under National Recovery And Resilience Plan For Romania; Romanian Ministry of Research, Innovation And Digitalization, Within Component 9, Investment I8; Next Generation Eu, Pnrr Mur Projects Age-it; Pnrr Mur. The news journalists obtained a quote from the research from University of Calab ria: "The proposed design solution is based on employing a 3D printing process c oupled with optimization design techniques to achieve a cost-oriented and user-f riendly solution. The proposed design is based on utilizing commercial Arduino c ontrol hardware. The proposed device has been named Pick&Eat. The p roposed device embodies reliability, functionality, and cost-effectiveness, and features a modular structure housing a 4- degrees-of-freedom robotic arm with a f ixing frame that can be attached to commercial wheelchairs. The arm is integrate d with an interchangeable end-effector facilitating the use of various tools suc h as spoons or forks tailored to different food types. Electrical and sensor com ponents were meticulously designed, incorporating sensors to ensure user safety throughout operations."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Athens, Gre ece, by NewsRx correspondents, research stated, "Engineers have consistently pri oritized the maintenance of structural serviceability and safety. Recent strides in design codes, computational tools, and Structural Health Monitoring (SHM) ha ve sought to address these concerns." Funders for this research include Imsfare Project "advanced Information Modellin g For Safer Structures Against Manmade Hazards". Our news journalists obtained a quote from the research from National Technical University of Athens: "On the other hand, the burgeoning application of machine learning (ML) techniques across diverse domains has been noteworthy. This resear ch proposes the combination of ML techniques with SHM to bridge the gap between high-cost and affordable measurement devices. A significant challenge associated with lowcost instruments lies in the heightened noise introduced into recorded data, particularly obscuring structural responses in ambient vibration (AV) mea surements. Consequently, the obscured signal within the noise poses challenges f or engineers in identifying the eigenfrequencies of structures. This article con centrates on eliminating additive noise, particularly electronic noise stemming from sensor circuitry and components, in AV measurements. The proposed MLDAR (Ma chine Learning-based Denoising of Ambient Response) model employs a neural netwo rk architecture, featuring a denoising autoencoder with convolutional and upsamp ling layers. The MLDAR model undergoes training using AV response signals from v arious Single- Degree-of-Freedom (SDOF) oscillators. These SDOFs span the 1-10 Hz frequency band, encompassing low, medium, and high eigenfrequencies, with their accuracy forming an integral part of the model's evaluation. The results are pr omising, as AV measurements in an image format after being submitted to the trai ned model become free of additive noise."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting out of Guanghan, People's Republic of Ch ina, by NewsRx editors, the research stated, "The prediction of flight delays is one of the important and challenging issues in the field of scheduling and plan ning flights by airports and airlines. Therefore, in recent years, we have witne ssed various methods to solve this problem using machine learning techniques." Financial support for this research came from This work was supported by: Resear ch on Smart Methods of Civil Aviation Regulatory Audit. Our news journalists obtained a quote from the research from the Civil Aviation Flight University of China, "In this article, a new method is proposed to addres s these issues. In the proposed method, a group of potential indicators related to flight delay is introduced, and a combination of ANOVA and the Forward Sequen tial Feature Selection (FSFS) algorithm is used to determine the most influentia l indicators on flight delays. To overcome the challenges related to large fligh t data volumes, a clustering strategy based on the DBSCAN algorithm is employed. In this approach, samples are clustered into similar groups, and a separate lea rning model is used to predict flight delays for each group. This strategy allow s the problem to be decomposed into smaller sub-problems, leading to improved pr ediction system performance in terms of accuracy (by 2.49%) and pro cessing speed (by 39.17%). The learning model used in each cluster is a novel structure based on a random forest, where each tree component is opti mized and weighted using the Coyote Optimization Algorithm (COA). Optimizing the structure of each tree component and assigning weighted values to them results in a minimum 5.3% increase in accuracy compared to the conventiona l random forest model. The performance of the proposed method in predicting flig ht delays is tested and compared with previous research."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news reporting from Shihezi, People's Republic of China, by NewsRx journalists, research stated, "In order to improve the flight efficiency of a flying-walking power transmission line inspection robot (FPTLIR) during fl ight missions, an accurate energy consumption model is constructed, and a multio bjective optimization approach using the improved NSGA-II is proposed to address the high energy consumption and long execution time." Financial supporters for this research include Financial Science And Technology Program of The Xpcc; National Natural Science Foundation of China. Our news editors obtained a quote from the research from Shihezi University: "Th e energy consumption model is derived from the FPTLIR kinematics to the motor dy namics, with the key parameters validated using a test platform. A multiobjectiv e optimization model is proposed that considers many constraints related to the FPTLIR during missions, offering a comprehensive analysis of the energy consumpt ion and execution time. The NSGA-II algorithm is improved by integrating the Cau chy variation operator and the simulated annealing algorithm, which is used to c onstruct the multiobjective optimization approach. Simulation and experimental r esults demonstrate that the proposed model accurately predicts the energy consum ption of the FPTLIR across different paths and flight conditions with an average relative error ranging from 0.76% to 3.24%. After op timization, energy savings of 5.33% and 5.01% are ac hieved for on-line and off-line missions, respectively, while maintaining the sh ortest execution time at the given energy level."
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