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    Research Conducted at Southeast University Has Updated Our Knowledge about Machi ne Learning (Life-cycle Seismic Performance Analysis of an Offshore Small-to-med ium Span Bridge Based On Interpretable Machine Learning)

    156-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“In earthqua ke-prone offshore regions, small-to-medium-span bridges undergo significant dete rioration inseismic performance due to chloride corrosion and aging impact over their service life. To address thisconcern, this paper proposes an interpretab le machine-learning framework to assess the life-cycle seismicperformance of of fshore small-to-medium-span bridges.”

    Research Conducted at Southeast University Has Updated Our Knowledge about Machi ne Learning (Life-cycle Seismic Performance Analysis of an Offshore Small-to-med ium Span Bridge Based On Interpretable Machine Learning)

    156-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from Nanjing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“In earthqua ke-prone offshore regions, small-to-medium-span bridges undergo significant dete rioration inseismic performance due to chloride corrosion and aging impact over their service life. To address thisconcern, this paper proposes an interpretab le machine-learning framework to assess the life-cycle seismicperformance of of fshore small-to-medium-span bridges.”

    Researchers’ Work from University Sains Malaysia Focuses on Robotics (Enhanced p ath planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots )

    157-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on robotics is now available. Accordi ng to news reporting from Penang, Malaysia,by NewsRx journalists, research stat ed, “This study introduces an enhanced algorithm for global pathplanning of Dif ferential Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO).”

    Researchers’ Work from University Sains Malaysia Focuses on Robotics (Enhanced p ath planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots )

    157-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on robotics is now available. Accordi ng to news reporting from Penang, Malaysia,by NewsRx journalists, research stat ed, “This study introduces an enhanced algorithm for global pathplanning of Dif ferential Wheeled Mobile Robots (DWMRs) that merges the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO).”

    Patent Application Titled 'Online Machine Learning For Calibration Of Autonomous Earth Moving Vehicles' Published Online (USPTO 20240384510)

    158-161页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: ““Field of Art“The following disclosure relates generally to a method for moving material to, from, or within a worksite using autonomous heavy machines.“Description of the Related Art“Heavy machines and/or construction vehicles, for example backhoes, loaders, and excavators, (generallyreferred to herein as “earth moving vehicles”) are often used to move and manipulate large quantitiesof earth or other similar material . Currently, operation of earth moving vehicles is very expensive as eachvehicl e requires a manual operator be available and present during the entire process to control the earthmoving vehicle. Further, implementing autonomous control of an earth moving vehicle presents otherchallenges because of changeable conditi ons on many work sites and the complexity and variety of earthmoving vehicle mo dels.

    Patent Application Titled 'Online Machine Learning For Calibration Of Autonomous Earth Moving Vehicles' Published Online (USPTO 20240384510)

    158-161页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: ““Field of Art“The following disclosure relates generally to a method for moving material to, from, or within a worksite using autonomous heavy machines.“Description of the Related Art“Heavy machines and/or construction vehicles, for example backhoes, loaders, and excavators, (generallyreferred to herein as “earth moving vehicles”) are often used to move and manipulate large quantitiesof earth or other similar material . Currently, operation of earth moving vehicles is very expensive as eachvehicl e requires a manual operator be available and present during the entire process to control the earthmoving vehicle. Further, implementing autonomous control of an earth moving vehicle presents otherchallenges because of changeable conditi ons on many work sites and the complexity and variety of earthmoving vehicle mo dels.

    Patent Issued for Systems and methods for multi-modal data augmentation for perc eption tasks in autonomous driving (USPTO 12145592)

    161-164页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the followingquote: “In development of data for training machine learni ng models, data collection and labeling is alaborious, costly, and time-consumi ng venture, which may represent a major bottleneck in most currentmachine learn ing pipelines. In particular, recent perception models in self-driving industry have startedto focus on the use of multi-modal data fusion. Typically, the mult i-modal data is associated with oneor more red-green-blue (RGB) cameras and/or one or more light detection and ranging (LiDAR) sensors.This typically requires the annotations of multi-modal data from several sensors to be synchronized, which may be relatively difficult. Furthermore, when collecting real world data fo r annotation, such data istypically limited to real traffic data of a certain t ime period from a few environments (e.g., cities and thelike). Thus, even a wel l-annotated dataset is not able to cover all the scenarios that an autonomouslyoperated vehicle may face.”

    Patent Issued for Systems and methods for multi-modal data augmentation for perc eption tasks in autonomous driving (USPTO 12145592)

    161-164页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the followingquote: “In development of data for training machine learni ng models, data collection and labeling is alaborious, costly, and time-consumi ng venture, which may represent a major bottleneck in most currentmachine learn ing pipelines. In particular, recent perception models in self-driving industry have startedto focus on the use of multi-modal data fusion. Typically, the mult i-modal data is associated with oneor more red-green-blue (RGB) cameras and/or one or more light detection and ranging (LiDAR) sensors.This typically requires the annotations of multi-modal data from several sensors to be synchronized, which may be relatively difficult. Furthermore, when collecting real world data fo r annotation, such data istypically limited to real traffic data of a certain t ime period from a few environments (e.g., cities and thelike). Thus, even a wel l-annotated dataset is not able to cover all the scenarios that an autonomouslyoperated vehicle may face.”

    'Systems And Methods For Processing Objects, Including Automated Mobile Matrix B ins' in Patent Application Approval Process (USPTO 20240385607)

    164-169页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “The invention generally relates to automated pr ogrammable motion control systems, e.g.,robotic, sortation and other processing systems, and relates in particular to programmable motion controlsystems inten ded for use in environments requiring that a variety of objects (e.g., articles, packages,consumer products, etc.) be processed and moved to a number of proces sing destinations.

    'Systems And Methods For Processing Objects, Including Automated Mobile Matrix B ins' in Patent Application Approval Process (USPTO 20240385607)

    164-169页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “The invention generally relates to automated pr ogrammable motion control systems, e.g.,robotic, sortation and other processing systems, and relates in particular to programmable motion controlsystems inten ded for use in environments requiring that a variety of objects (e.g., articles, packages,consumer products, etc.) be processed and moved to a number of proces sing destinations.