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    Findings from Xinyang Normal University Provides New Data about Robotics (Robot Manipulator Tracking Control With Conquering Joint Physical Limits At Angle and Velocity Layers Based On Different-layer Equivalency Technique)

    19-20页
    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 Xinyang, People's Republic of China, by NewsRx journalists, research stated, “The study of manipulator physical limits is a very important direction in the field of robotics. Most traditional approac hes to addressing physical limits are typically within the framework of optimiza tion, treating physical limits as constraints to be addressed.”

    Researchers at University of Trento Have Reported New Data on Machine Learning ( Personalized Nutrition and Machine-learning: Exploring the Scope of Continuous G lucose Monitoring In Healthy Individuals In Uncontrolled Settings)

    20-21页
    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 Machine Learning. According to news reporting out of Trento, Italy, by NewsRx ed itors, research stated, “Machine-learning models, when combined with continuous glucose monitoring (CGM), can help effectively analyze extensive datasets of gly cemic responses to food. A total of 3,296 90-minute-long CGM meal responses from 927 healthy individuals were used to train/test a machine-learning model (XGBRe gressor).”

    Reports from Fuzhou University Provide New Insights into Robotics and Automation (Memory-constrained Semantic Segmentation for Ultra-high Resolution Uav Imagery )

    21-22页
    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 - Ro botics and Automation have been published. According to news reporting from Fuzh ou, People's Republic of China, by NewsRx journalists, research stated, “Ultra-h igh resolution image segmentation poses a formidable challenge for UAVs with lim ited computation resources. Moreover, with multiple deployed tasks (e.g., mappin g, localization, and decision making), the demand for a memory efficient model b ecomes more urgent.”

    Researchers from Northeastern University Describe Findings in Machine Learning ( Physics-guided Intelligent System for Cutting Force Estimation In Ultrasonic Ato mization-assisted Micro-milling of Porous Titanium)

    22-23页
    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 originating in Shenyang, People's Republ ic of China, by NewsRx journalists, research stated, “Porous titanium is a new b iomechanical implant material due to the good mechanical properties and biocompa tibility. In order to meet the manufacturing needs of anisotropic porous titaniu m with complex microstructures, the ultrasonic atomization withexcellent cooli ng and lubrication effect is integrated with the micro-milling operation.”

    Reports from Khon Kaen University Describe Recent Advances in Artificial Intelli gence (An Application of Artificial Intelligence for Solving Multi-visit Schedul ing and Routing of Multi-heterogeneous Resources)

    23-24页
    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 Artific ial Intelligence. According to news originating from Khon Kaen, Thailand, by New sRx correspondents, research stated, “This research focuses on the development o f an artificial multiple intelligence system (AMIS) for solving multi-visit sche duling and routing of multi-heterogeneous resources. The proposed method has bee n developed as a decision-making tool for solving mechanical sugarcane harvest o perations which have been replacing the manual harvesting system with the sugarc ane field burning.”

    Findings from State University of New York (SUNY) Binghamton Has Provided New Da ta on Robotics (Icorpp: Interleaved Commonsense Reasoning and Probabilistic Plan ning On Robots)

    24-25页
    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 out of Binghamton, New York, by NewsRx edito rs, research stated, “Robot sequential decision -making in the real world is a c hallenge because it requires the robots to simultaneously reason about the curre nt world state and dynamics, while planning actions to accomplish complex tasks. On the one hand, declarative languages and reasoning algorithms support represe nting and reasoning with commonsense knowledge.”

    Findings from Zhejiang University Provides New Data on Androids (Compliance Whil e Resisting: a Shear-thickening Fluid Controller for Physical Human-robot Intera ction)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics - Androids h ave been presented. According to news originating from Hangzhou, People's Republ ic of China, by NewsRx correspondents, research stated, “Physical human-robot in teraction (pHRI) is widely needed in many fields, such as industrial manipulatio n, home services, and medical rehabilitation, and puts higher demands on the saf ety of robots. Due to the uncertainty of the working environment, the pHRI may r eceive unexpected impact interference, which affects the safety and smoothness o f the task execution.”

    Catholic University of Louvain (UCLouvain) Researcher Furthers Understanding of Machine Learning (Machine learning rather than trial and error to close morphody namical tuneable parameters: application to a two-phase/two-layer model)

    26-27页
    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 artificial intelligence. According to news reporting originating from Catholic U niversity of Louvain (UCLouvain) by NewsRx correspondents, research stated, “Phy sics-based numerical models often depend on several parameters to close.” Funders for this research include Fonds De La Recherche Scientifique - Fnrs.

    Studies from University of Cordoba Add New Findings in the Area of Artificial In telligence (Objective Assessment of Equine Locomotor Symmetry Using an Inertial Sensor System and Artificial Intelligence: A Comparative Study)

    27-28页
    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 artificial intelligence is now available. According to news originating from Cordoba, Spain, by NewsRx correspondents, research stated, “In horses, quantitative assessment of gait par ameters, as with the use of inertial measurement units (IMUs) systems, might hel p in the decision-making process.”

    South China University of Technology Researchers Have Published New Data on Mach ine Learning (A novel framework for feature simplification and selection in floo d susceptibility assessment based on machine learning)

    28-29页
    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 Guangzhou, People 's Republic of China, by NewsRx editors, the research stated, “Study region: Yan gtze River Delta core urban agglomeration, China Study focus: Traditional resear ch on flood susceptibility assessment using machine learning often seeks to enha nce model performance by increasing the number of input variables, which is impr actical in regions with limited data availability.”