查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Changchun, People’s Repu blic of China, by NewsRx journalists, research stated, “Accurate identification of manipulator dynamics parameters is crucial for achieving precise control and optimal performance in various robotic applications. Existing methods primarily utilize least squares or weighted least squares for dynamic parameter identifica tion, which cannot effectively integrate the nonlinear friction model and satisf y physical feasibility constraints (PFCs).” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news reporting from Beijing, People’s Republic of China, by NewsRx jou rnalists, research stated, “This paper deals with robotic systems trajectory tra cking problems by designing a new event-triggered sliding mode control (ET-SMC) algorithm with signal quantization.” Financial supporters for this research include Major Project of The New Generati on of Artificial Intelligence. Our news journalists obtained a quote from the research from University of Scien ce and Technology Beijing: “More precisely, an event-triggered control strategy is introduced to the sliding mode control algorithm with robustness to reduce th e controller update frequency, so as to reduce the network communication resourc es consumption and maintain the control accuracy. In addition, the dynamic quant ization method is adopted between the controller and the actuator for more commu nication efficiency. Unlike periodic time-triggered control strategy, a novel ev ent triggering condition which requires no statedependent variables is discusse d for less triggering threshold computations. Furthermore, the minimum interval of adjacent triggering instant based on the new triggering condition can be obta ined to avoid the Zeno phenomenon.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics - Robotic s and Automation. According to news reporting from Shenzhen, People’s Republic o f China, by NewsRx journalists, research stated, “Task and Motion Planning (TAMP ) algorithms can generate plans that combine logic and motion aspects for robots . However, these plans are sensitive to interference and control errors.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from the Harbin Insti tute of Technology, “To make TAMP algorithms more applicable and robust in the r eal world, we propose the modular multilevel replanning TAMP framework(MMRF), e xpanded existing TAMP algorithms by combining real-time replanning components. M MRF generates an nominal plan from the initial state and then reconstructs this nominal plan in real-time to reorder manipulations. Following the logic-level ad justment, MMRF attempts to replan a new motion path, ensuring that the updated p lan is feasible at the motion level. Finally, we conducted several real-world ex periments.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Gastric Can cer is the subject of a report. According to news reporting originating from Wux i, People’s Republic of China, by NewsRx correspondents, research stated, “Gastr ic cancer is a prevalent gastrointestinal malignancy worldwide. In this study, a prognostic model was developed for gastric cancer patients who underwent radica l gastrectomy using machine learning, employing advanced computational technique s to investigate postoperative mortality risk factors in such patients.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on software engineering i s the subject of a new report. According to news reporting out of Montreal, Cana da, by NewsRx editors, research stated, “Domain experts are increasingly employi ng machine learning to solve their domain-specific problems.” The news journalists obtained a quote from the research from Polytechnique Montr eal: “This article presents to software engineering researchers the six key chal lenges that a domain expert faces in addressing their problem with a computation al workflow, and the underlying executable implementation. These challenges aris e out of our conceptual framework which presents the “route” of transformations that a domain expert may choose to take while developing their solution. To grou nd our conceptual framework in the state of the practice, this article discusses a selection of available textual and graphical workflow systems and their suppo rt for the transformations described in our framework. Example studies from the literature in various domains are also examined to highlight the tools used by t he domain experts as well as a classification of the domain specificity and mach ine learning usage of their problem, workflow, and implementation.”
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 - Robotics and Automation. According to news reporting originating from Brookl yn, New York, by NewsRx correspondents, research stated, “Aerial robots are requ ired to remain operational even in the event of system disturbances, damages, or failures to ensure resilient and robust task completion and safety. One common failure case is propeller damage, which presents a significant challenge in both quantification and compensation.” Financial support for this research came from DEVCOM ARL.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating from Montpellier, France , by NewsRx correspondents, research stated, “This paper proposes the PANORAMA a pproach, which is designed to dynamically and autonomously manage the allocation of a robot’s hardware and software resources during fully autonomous mission.” Financial support for this research came from University of Montpellier.
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 originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “In this article, a novel stochastic optimal control method is developed for robot manipulator interacting with a tim e-varying uncertain environment. The unknown environment model is described as a nonlinear system with timevarying parameters as well as stochastic information , which is learned via the Gaussian process regression (GPR) method as the exter nal dynamics.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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 Machine Learn ing have been published. According to news reporting originating from Richland, Washington, by NewsRx correspondents, research stated, “Fires, including wildfir es, harm air quality and essential public services like transportation, communic ation, and utilities. These fires can also influence atmospheric conditions, inc luding temperature and aerosols, potentially affecting severe convective storms. ” Funders for this research include United States Department of Energy (DOE), UChi cago Argonne, LLC, United States Department of Energy (DOE).
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 from Krasnodar, Russia, by Ne wsRx journalists, research stated, “An important aspect of assessing the authent icity of wines is its geographical origin.” Funders for this research include Russian Science Foundation. Our news editors obtained a quote from the research from Kuban State University: “The aim of the work is to authenticate by geographical origin according to the data of the ICP-spectrometric and chemometric analysis of elemental “images” of wines produced from white grape varieties Chardonnay, Riesling and Muscat grown in four regions of the Krasnodar Territory, Russia. The difference in the conte nts of Al, Ba, Ca and Rb in wines was found depending on the variety, and Al, Ba , Rb, Fe, Li, Sr - depending on the region of grape growth. Different models of the experimental data processing were used for attribution of the produced varie ties of wine to the area of the grape’s growth. The criterion for the quality of the constructed models was the accuracy of the attribution of a wine variety to the area of the grape’s growth (%). Analysis of the elemental anal ysis data of 153 wine samples showed that in terms of attribution accuracy, auto mated neural networks (100 %) are preferred among machine learning methods, followed by support vector machines (98.69 %) and general discriminant analysis (94.77 %). The applied mathematical models en abled the revealing of the cluster structure of the analyzed wine varieties and their attribution to the area of a grape growth with high accuracy.”
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