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    Studies in the Area of Robotics Reported from Shanghai Jiao Tong University (Dex terity Comparison and Analysis of Multi-contactaided Continuum Manipulators)

    50-50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 Robotics. According to news reporting out of Shanghai, People’s Republic of Chin a, by NewsRx editors, research stated, “Continuum robots are being increasingly used in minimally invasive surgery because of their high dexterity. Most studies have adopted the redundancy approach-increase the number of actuation Degrees o f Freedom (DOFs)-to improve the performance of robots.”

    Recent Findings from University of California Los Angeles (UCLA) Provides New In sights into Machine Learning (Machine Learning Electrospray Plume Dynamics)

    51-51页
    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 are pre sented in a new report. According to news reporting originating in Los Angeles, California, by NewsRx journalists, research stated, “Machine learning models are applied to simulated electrospray particle data to investigate plume dynamics f rom emission to final particle properties. A limited set of final particle prope rties are successfully regressed exclusively from emission property inputs.”

    Researchers from Sastra Deemed to be University Report New Studies and Findings in the Area of Machine Learning (Expanding the Wrench Feasible Workspace of Quad rotor-based Mobile Cabledriven Parallel Manipulators Using Multi-objective ...)

    52-52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 Ma chine Learning. According to news originating from Thanjavur, India, by NewsRx c orrespondents, research stated, “Quadrotor-based Reconfigurable Cable-Driven Par allel Manipulators (QRCDPMs) have previously been introduced as having significa nt potential in extending the feasible workspace of CableDriven Parallel Manipul ators (CDPMs). However, such configurations have limitations in executing positi ve Z-direction trajectories resulting in non-optimal workspace and performance.” Financial support for this research came from Science and Engineering Research B oard (SERB) , Department of Science and Technology (DST) , Government of India.

    Findings from Imperial College London in Machine Learning Reported (Exploring Un seen 3d Scenarios of Physics Variables Using Machine Learning-based Synthetic Da ta: an Application To Wave Energy Converters)

    53-53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 Machine Learn ing have been published. According to news originating from London, United Kingd om, by NewsRx correspondents, research stated, “This work uses machine learning to produce synthetic data of wave energy converters from time-expensive 3D simul ations based on computational fluid dynamics models. The simulations to analyse the response of these systems to incoming waves are lengthy and computationally expensive to obtain.”

    New Robotics Data Have Been Reported by Researchers at University of California Berkeley (Fast In-hand Slip Control On Unfeatured Objects With Programmable Tact ile Sensing)

    54-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news originating from Berkeley, California, by NewsR x correspondents, research stated, “Accurate dynamic object manipulation in a ro botic hand remains a difficult task, especially when frictional slip is involved . Prior solutions involve extensive data collection to train complex models to c ontrol the hand that do not necessarily generalize to other slip circumstances.” Financial support for this research came from InnoHK of the Government of the Ho ng Kong Special Administrative Region.

    Findings from Chinese Academy of Sciences Yields New Findings on Machine Learnin g (A Machine Learning Methodology for Investigating the Liquid-liquid Transition of Hydrogen Under Highpressure)

    55-55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 Hefei, People’s Republic of China, by NewsRx editors, research stated, “Due to its unique properties such a s superconductivity and superfluidity, high-pressure properties of hydrogen attr act a lot of attention. However, the Liquid-Liquid Transition (LLT) of hydrogen under high-pressure and high-temperature is of particular significance for under standing its metallization.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), NPL, CAEP.

    Reports from University of California Riverside Describe Recent Advances in Mach ine Learning (Trends In Surface Plasmon Resonance Biosensing: Materials, Methods , and Machine Learning)

    56-57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 Ma chine Learning. According to news reporting out of Riverside, California, by New sRx editors, research stated, “Surface plasmon resonance (SPR) proves to be one of the most effective methods of label-free detection and has been integral for the study of biomolecular interactions and the development of biosensors. This t rend delves into the latest SPR research and progress built upon the Kretschmann configuration, a pivotal platform, and highlights three key developments that h ave enhanced the capabilities of the technique.”

    University of Orebro Researchers Highlight Research in Robotics (Crossing-Point Estimation in Human-Robot Navigation-Statistical Linearization versus Sigma-Poin t Transformation)

    56-56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 have been published. According to news originating from Orebro, Sweden, by NewsRx co rrespondents, research stated, “Interactions between mobile robots and human ope rators in common areas require a high level of safety, especially in terms of tr ajectory planning, obstacle avoidance and mutual cooperation.” Funders for this research include European Union.

    Investigators from University of Freiburg Have Reported New Data on Robotics (Fa irness and Bias In Robot Learning)

    57-58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 Robotic s. According to news reporting out of Freiburg, Germany, by NewsRx editors, rese arch stated, “Machine learning (ML) has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. Recent works in various ML domains have high lighted the importance of accounting for fairness to ensure that these algorithm s do not reproduce human biases and consequently lead to discriminatory outcomes .”

    Study Findings on Artificial Intelligence Are Outlined in Reports from National University of Science and Technology (Artificial Intelligence Application in the Field of Functional Verification)

    58-59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 reporting out of Bucharest, Romani a, by NewsRx editors, research stated, “The rising interest in Artificial Intell igence and the increasing time invested in functional verification processes are driving the demand for AI solutions in this field.”