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    New Findings from Hunan University in the Area of Robotics Published (Effects of Robot-Assisted Language Learning on English-asa- Foreign-Language Skill Development)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in robotics. According to news originating fromChangsha, People’s Republic of China, by NewsRx correspondents, research stated, “While numerous studiesof robot-assisted language learning (RALL) for English-as-a-foreign-language (EFL) learners’ language skill development have been done, a comprehensive and theoretically-driven meta-analysis on its effects isstill in paucity.”

    New Machine Learning Study Findings Have Been Reported by Investigators at University of Cambridge (Exploration of Truss Metamaterials With Graph Based Generative Modeling)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Machine Learning are discussed in a new report. According to news originatingfrom Cambridge, United Kingdom, by NewsRx editors, the research stated, “In the expanding landscapeof metamaterial design, Zheng and colleagues introduces a framework that bridges design and properties,using machine learning to enhance truss metamaterials.”

    University of Duisburg-Essen Reports Findings in Science (The multivariate interaction between Au and TiO2 colloids: the role of surface potential, concentration, and defects)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Science is the subject of a report. According to news reportingoriginating from Essen, Germany, by NewsRx correspondents, research stated, “The established DLVOtheory explains colloidal stability by the electrostatic repulsion between electrical double layers. While theroutinely measured zeta potential can estimate the charges of double layers, it is only an average surfaceproperty which might deviate from the local environment.”

    Researchers from Tongling University Provide Details of New Studies and Findings in the Area of Machine Learning (Intellectual Property Protection of Green Manufacturing Forming Technology Based On Machine Learning and Internet of Things)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Anhui, People’s Republic of China, by NewsRx editors, the research stated, “As a pillar industry of theglobal economy, the impact of manufacturing on the environment is becoming increasingly prominent, andthe issue of intellectual property protection for green manufacturing forming technology is also graduallybecoming prominent. This article aims to explore the application of machine learning and the internetof things in green manufacturing shaping technology, and propose corresponding intellectual propertyprotection measures to promote the green development of the manufacturing industry.”

    New Robotics Study Findings Reported from Queen’s University Belfast (Fixed-time Integral Sliding Mode Control for Admittance Control of a Robot Manipulator)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Robotics. According to news originating fromBelfast, United Kingdom, by NewsRx correspondents, research stated, “This article proposes a novel fixedtimeintegral sliding mode controller for admittance control to enhance physical human-robot collaboration.The proposed method combines the benefits of compliance to external forces of admittance control and highrobustness to uncertainties of integral sliding mode control (ISMC), such that the system can collaboratewith a human partner in an uncertain environment effectively.”

    Researchers at Chinese Academy of Sciences Target Robotics (Kalman Filter-based One-shot Sim-to-real Transfer Learning)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news reportingoriginating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Deepreinforcementlearning algorithms offer a promising method for industrial robots to tackle unstructured andcomplex scenarios that are difficult to model. However, due to constraints related to equipment lifespanand safety requirements, acquiring a number of samples directly from the physical environment is ofteninfeasible.”

    Zhejiang Police College Reports Findings in Machine Learning (Deep learning analysis for rapid detection and classification of household plastics based on Raman spectroscopy)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reporting fromHangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The overuse of plasticsreleases large amounts of microplastics. These tiny and complex pollutants may cause immeasurabledamage to human social life.”

    Studies from VSB-Technical University of Ostrava Yield New Information about Machine Learning (Power Quality 24-hour Prediction Using Differential , Deep and Statistics Machine Learning Based On Weather Data In an Off-grid)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Ostrava, Czech Republic, by NewsRx editors, the research stated, “Prediction of PowerQuality (PQ) on a daily basis is inevitable in planning Renewable Energy (RE) supply and scheduling theassumed power load in smart off-grid autonomous systems. Various combinations of the attached householdappliances lead to specific operating states, related to the charge and load switching-time in different outsideconditions.”

    New Findings Reported from Technical University Munich (TU Munich) Describe Advances in Robotics (Cut-paste Image Generation for Instance Segmentation for Robotic Picking of Industrial Parts)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news originatingfrom Garching, Germany, by NewsRx correspondents, research stated, “Vision-based robotic picking enablesautomation of commissioning and sortation of disordered parts. To locate parts for grasping, state-of-theartapproaches rely on convolutional neural networks for instance segmentation in 2D images.”

    Investigators from Chinese Academy of Sciences Release New Data on Robotics (A Stable Learning-based Method for Robotic Assembly With Motion and Force Measurements)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting fromShenzhen, People’s Republic of China, by NewsRx journalists, research stated, “In this article, a learningbasedcontroller is proposed to realize motion policy learning based on intuitive human demonstrations.The position, velocity, and force data during the demonstration are collected as input features without anyphysical contact with the human demonstrator, and an algorithm is designed to automatically label thedata in combination with motion and force data.”