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 from San Juan, Argentina, by NewsRx journa lists, research stated, “The paper analyses a control scheme aided by LSTM netwo rks for the delayed bilateral teleoperation system of a skid-steering wheeled mo bile robot. The strategy implemented at the local and remote sites combines a vi rtual force based on nonlinear impedance, nonlinear Proportional-Integral (PI) g ains, spring-damper, and robust neural dynamics compensation, including a gradie nt-based adjustment law or critic-actor RL trained offline using the ADAM algori thm.” Funders for this research include Instituto de Automatica (INAUT)-Universidad Na cional de San Juan, Consejo Nacional de Investigaciones Cientificas y Tecnicas ( CONICET), Deutscher Akademischer Austausch Dienst (DAAD), CONACYT-Fondo Sectoria l de Investigacion para la Educacion.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news reporting originating from Jinhua, People’s Republic of China, by NewsRx correspondents, research stated, “Face detection is a fundamental task in computer vision, yet r emains challenging in educational settings due to the presence of objects of var ious sizes. Subpar detection can significantly impede subsequent tasks’ performa nce.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of Guangdong Province, G rants-in-Aid for Scientific Research (KAKENHI).
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 Machine Learning. According to news reporting from Tampere, Finland, by NewsRx journali sts, research stated, “Emergency department (ED) crowding is a significant threa t to patient safety and it has been repeatedly associated with increased mortali ty. Forecasting future service demand has the potential to improve patient outco mes.” Funders for this research include Finnish Ministry of Health and Social Welfare via the Medical Research Fund of Kanta-Hame Central Hospital, Finnish Medical Fo undation, Finland, Competitive State Research Financing of the Expert Responsibi lity Area of Tampere University Hospital, Pirkanmaa Hospital District, Research Council of Finland, Hauho Oma Savings Bank Foundation, Renko Oma Savings Bank Fo undation.
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 originating from Wroclaw, Poland, by NewsRx c orrespondents, research stated, “A tool for path following for a mobile manipula tor is herein presented.” Our news correspondents obtained a quote from the research from Wroclaw Universi ty of Science and Technology: “The control algorithm is obtained by projecting a local frame associated with the robot onto the desired path, thus obtaining a n on-orthogonal moving frame. The Serret-Frenet frame moving along the curve is co nsidered as a reference. A curve resulting from the control points of a B-spline in 2D or 3D is investigated as the desired path. It is used to show how the geo metric continuity of the path has an impact on the performance of the robot in t erms of undesired force spikes. This can be understood by looking at the curvatu re and, in 3D, at the torsion of the path. These unwanted effects vanish and bet ter performance is achieved thanks to the change of the B-spline order.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Lemont, Illino is, by NewsRx journalists, research stated, “Intermetallic phases represent a do main of emergent behavior, in which atoms with packing and electronic preference s can combine into complex geometrical arrangements whose long-range order invol ves repeat patterns containing thousands of atoms or is incompatible with a 3D u nit cell. The formation of such arrangements points to unexplained driving force s within these systems that, if understood, could be harnessed in the design of new metallic materials.” The news reporters obtained a quote from the research from Argonne National Labo ratory, “DFTchemical pressure (CP) analysis has emerged as an approach to visua lize how atomic packing tensions within simpler crystal structures can drive thi s complexity and create potential functionality. However, the applications of th is method have hitherto been limited in scope by its dependence on resource-inte nsive electronic structure calculations. In this Article, we develop machine lea rning (ML)-based implementation of the CP approach, drawing on the collection of DFT-CP schemes in the Intermetallic Reactivity Database. We illustrate the meth od with comparisons of ML-CP and DFT-CP schemes for a series of examples, before demonstrating its application with an exploration of one of the quintessential instances of complexity in intermetallic chemistry, MgAl, whose high-temperature unit cell is a 2.8 nm cube containing 1227 atoms. An analysis of its ML-CP-deri ved interatomic pressures traces the origins of the structure to simple matching rules for the assembly of Frank-Kasper polyhedra.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Miami, Florida, by NewsRx editors, research stated, “The release of ChatGPT (OpenAI) in Novembe r 2022 drastically reduced the barrier to using artificial intelligence by allow ing a simple web-based text interface to a large language model (LLM). One use c ase where ChatGPT could be useful is in triaging patients at the site of a disas ter using the Simple Triage and Rapid Treatment (START) protocol.”
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 Shaoguan, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, the objective of path planning and control systems for robot is multifactorial. The method used for navigation algorithms based on is closed-loop random trees with quick search or CL-RRT.” The news correspondents obtained a quote from the research from Shaoguan Univers ity, “In this algorithm, each robot will grow a tree from its current location t o the target or zone target is developed. The main advantage of this method is t he ability to function in complex environments. For use this method, it is neces sary that the CL-RRT algorithm for robot navigation online, be extended. In onli ne mode, the robot does not have any information about the environment and throu gh its sensors, which detect the environment and the ability to function in envi ronments with obstacles dynamic and could face a new obstacle or the possibility of an obstacle’s dynamic (the other a robot) to change its direction during mot ion. Performance of the design path used with design the controller for robot in an environment with various obstacles is evaluated, and then this design is for a group of robots used. To coordinate among agents and to ensure that there is no conflict between them, there is strategy based on priority assignment and LOS method. The strategy used in a way that ensures that the collision between agen ts does not happen and benefits of the design methods path used to keep. As a re sult of this strategy can be divided into two parts, the first part of the prior itization robots and the second part of the strategy, no conflict robot is in mo tion. In this paper, the problem of forming a group of robots has been investiga ted. In other words, the agents move in the number of agents must be a specific form.”
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 ar tificial intelligence. According to news reporting originating from Ostrava, Cze ch Republic, by NewsRx correspondents, research stated, “The detection of people in urban environments from satellite imagery can be employed in a variety of ap plications, such as urban planning, business management, crisis management, mili tary operations, and security.” Funders for this research include Vsb-technical University of Ostrava. The news correspondents obtained a quote from the research from VSB-Technical Un iversity of Ostrava: “A WorldView-3 satellite image of Prague was processed. Sev eral variants of feature-extracting networks, referred to as backbone networks, were tested alongside the Faster R-CNN model. This model combines region proposa l networks with object detection, offering a balance between speed and accuracy that is well suited for dense and varied urban environments. Data augmentation w as used to increase the robustness of the models, which contributed to the impro vement of classification results.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Adelaide, Austral ia, by NewsRx journalists, research stated, “Biological age can be predicted usi ng artificial intelligence (AI) trained on electrocardiograms (ECGs), which is p rognostic for mortality and cardiovascular events. We developed an AI model to p redict age from ECG and compared baseline characteristics to identify determinan ts of advanced biological age.” The news correspondents obtained a quote from the research from Royal Adelaide H ospital, “An AI model was trained on ECGs from cardiology inpatients aged 20-90 years. AI analysis used a convolutional neural network with data divided in an 8 0:20 ratio (development:internal validation), with external validation undertake n using data from the UK Biobank. Performance and subgroup comparison measures i ncluded correlation, difference and mean absolute difference. 63,246 patients wi th 353,704 total ECGs were included. In internal validation, the correlation coe fficient was 0.72, with a mean absolute difference between chronological and AI- predicted age of 9.1 years. The same model performed similarly in external valid ation. In patients aged 20-29, AI-ECG biological age was older than chronologica l age by a mean 14.3±0.2 yrs. In patients aged 80-89 years, biological age was y ounger by a mean 10.5±0.1 yrs. Women were biologically younger than men by a mea n of 10.7 months (P=0.023) and patients with a single ECG were biologically 1.0 years younger than those with multiple ECGs (P <0.0001). Th ere are significant between-group differences in AI-ECG biological age for patie nt subgroups. Biological age was greater than chronological age in young, hospit alized patient, and less than chronological age in the older hospitalized patien t.”
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 is now availab le. According to news reporting originating from Weihai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “This paper introduces a robust position tracking control structure of exoskeleton robots (ERs). An open environ ment and body flexibility are the main challenges in ER control system design.” Financial support for this research came from Aviation Science Foundation of Chi na.
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