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 from Madrid, Spain, by NewsRx journalists, resea rch stated, “This work presents the analysis of the sampling and communication f requencies in a multi -robot system (MRS) and its effect over the temporal perfo rmance and computational load. The experimental system is composed of mobile rob ots (the Khepera IV), and a type of aerial robots, the Crazyflie 2.1.” Financial support for this research came from Agencia Estatal de Investigacion. The news correspondents obtained a quote from the research from the National Uni versity of Distance Education (UNED), “The analysis is performed for the formati on control of the MRS from initial conditions to a desired formation, which is d efined in terms of relative distances between agents. Three scenarios regarding the control architecture are evaluated: centralized, distributed in ROS 2, and d istributed onboard the robot. The minimum operating frequency for periodic sampl ing is determined, and an event -based sampling protocol is presented to reduce the number of transmitted messages.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Nanchan g, People’s Republic of China, by NewsRx editors, the research stated, “The latt ice Boltzmann method is employed in the current study to simulate the heat trans fer characteristics of sinusoidal-temperature-distributed heat sources at the bo ttom of a square cavity under various conditions, including different amplitudes , phase angles, initial positions, and angular velocities. Additionally, a machi ne learning-based model is developed to accurately predict the Nusselt number in such a sinusoidal temperature distribution of heat source at the bottom of a sq uare cavity.” Financial supporters for this research include Science And Technology Research P roject of Education Department of Jiangxi Province; Research Project of Nanchang Institute of Science And Technology.
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 originating in Albuquerque, New Mexico, b y NewsRx journalists, research stated, “Effective habitat management for rare an d endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in t he analyses of habitat use by wildlife, the primary focus of these models has be en on generating spatial predictions.” Funders for this research include Canadian Wildlife Service, Crane Trust, United States Geological Survey, Platte River Recovery Implementation Program, Gulf Co ast Bird Observatory, International Crane Foundation, Parks Canada.
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 Kunming, People’s Republic of China, by NewsRx journalists, research stated, “The 6-DOF Stewart parallel elevation plat form serves as the platform for mounting the tea-picking robotic arm, significan tly impacting the operational scope, velocity, and harvesting precision of the r obotic arm.” Funders for this research include Development And Demonstration of Intelligent A griculture Data Sensing Technology And Equipment in Plateau Mountainous Areas; S tudy of Yunnan Big Leaf Tea Tree Phenotypic Plasticity Characteristics Selection Mechanism Based on Ai-driven Data Fusion; Smart Tea Industry Technology Task of Menghai County, Yunnan Province.
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 originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “This letter presents MA-NBCP , a novel hierarchical framework targeting autonomous exploration and inspection for high- DoF manipulators. MA-NBCP iteratively selects the manipulability-augme nted next-best-configuration for exploring unknown regions surrounding a manipul ator, while providing collision-avoidance guarantee.” Financial support for this research came from National Key Research and Developm ent Program.
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 Machine Learning is now available. According to news reporting out of Atlanta, Georgia, by NewsRx edito rs, research stated, “Shape transformations of active composites (ACs) depend on the spatial distribution and active response of constituent materials. Voxel-le vel complex material distributions offer a vast possibility for attainable shape changes of 4D-printed ACs, while also posing a significant challenge in efficie ntly designing material distributions to achieve target shape changes.” Financial supporters for this research include Air Force Office of Scientific Re search (AFOSR), HP, Inc.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news reporting out of Santa B arbara, California, by NewsRx editors, research stated, “The discovery of new cr ystalline inorganic compounds- novel compositions of matter within known structu re types, or even compounds with completely new crystal structures-constitutes a n important goal of solid-state and materials chemistry. Some fractions of new c ompounds can eventually lead to new structural and functional materials that enh ance the efficiency of existing technologies or even enable completely new techn ologies.” Financial supporters for this research include United States Department of Energ y (DOE), 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 – Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news originati ng from Tulsa, Oklahoma, by NewsRx correspondents, research stated, “Due to the increasing demand for electricity and the inherent uncertainty in power generati on, finding efficient solutions to the stochastic alternating current optimal po wer flow (AC-OPF) problem has become crucial. However, the nonlinear and non-con vex nature of AC-OPF, coupled with the growing stochasticity resulting from the integration of renewable energy sources, presents significant challenges in achi eving fast and reliable solutions.” Our news journalists obtained a quote from the research from the University of T ulsa, “To address these challenges, this study proposes a novel graph-based gene rative methodology that effectively captures the uncertainties in power system m easurements, enabling the learning of probability distribution functions for gen eration dispatch and voltage setpoints. Our approach involves modeling the power system as a weighted graph and utilizing a deep spectral graph convolution netw ork to extract powerful spatial patterns from the input graph measurements. A un ique variational approach is introduced to identify the most relevant latent fea tures that accurately describe the setpoints of the AC-OPF problem. Additionally , a capsule network with a new greedy dynamic routing algorithm is proposed to p recisely decode the latent features and estimate the probabilistic AC-OPF proble m. Further, a set of carefully designed physics-informed loss functions is incor porated in the training procedure of the model to ensure adherence to the fundam ental physics rules governing power systems. Notably, the proposed physics-infor med loss functions not only enhance the accuracy of AC-OPF estimation by effecti vely regularizing the deep learning model but also significantly reduce the time complexity.”
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 originating from London, Canada, by New sRx correspondents, research stated, “It remains difficult to predict longitudin al outcomes in long-COVID, even with chest CT and functional MRI. Xe MRI reflect s airway dysfunction, measured using ventilation defect percent (VDP) and in lon g-COVID patients, MRI VDP was abnormal, suggestive of airways disease.”
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 - Robotics and Automation are presented in a new report. According to news originating from Sha nghai, People’s Republic of China, by NewsRx correspondents, research stated, “T actile perception stands as a critical sensory modality for human interaction wi th the environment. Among various tactile sensor techniques, optical sensor-base d approaches have gained traction, notably for producing high-resolution tactile images.” Financial support for this research came from National Key Ramp;D Program of Chi na.
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