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    Researchers from University of Arizona Describe Findings in Machine Learning (Ph ysics-informed Hybrid Modeling Methodology for Building Infiltration)

    152-153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 reporting from Tucson, Arizona, by Ne wsRx journalists, research stated, "Infiltration is responsible for one-third to one-half of the space conditioning load of a typical residential home, but the modeling of infiltration for building energy modeling is either represented by o ver-simplified equations or dependent on over-generalized rules of thumb. This p aper develops a physics-informed data-driven methodology for modeling infiltrati on using building-specific empirical measurements." Financial supporters for this research include United States Department of Energ y (DOE), United States Department of Energy (DOE).
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    Report Summarizes Machine Learning Study Findings from Zagazig University (Machi ne learning and deep learning models based grid search cross validation for shor t-term solar irradiance forecasting)

    153-154页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news reporting originating from Zagazig Univer sity by NewsRx correspondents, research stated, "In late 2023, the United Nation s conference on climate change (COP28), which was held in Dubai, encouraged a qu ick move from fossil fuels to renewable energy. Solar energy is one of the most promising forms of energy that is both sustainable and renewable." Financial supporters for this research include Mansoura University.
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    Findings from University of California San Diego (UCSD) Broaden Understanding of Robotics (Multi-robot Object Slam Using Distributed Variational Inference)

    154-155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 originating from San Diego, California, by NewsRx corr espondents, research stated, "Multi-robot simultaneous localization and mapping (SLAM) enables a robot team to achieve coordinated tasks by relying on a common map of the environment. Constructing a map by centralized processing of the robo t observations is undesirable because it creates a single point of failure and r equires pre-existing infrastructure and significant communication throughput." Funders for this research include NSF FRR CAREER, ARL DCIST CRA. Our news journalists obtained a quote from the research from the University of C alifornia San Diego (UCSD), "This letter formulates multi-robot object SLAM as a variational inference problem over a com-munication graph subject to consensus c onstraints on the object estimates maintained by different robots. To solve the problem, we develop a distributed mirror descent algorithm with regularization e nforcing consensus among the communicating robots. Using Gaussian distributions in the algorithm, we also derive a distributed multi-state constraint Kalman fil ter (MSCKF) for multi-robot object SLAM."
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    Researchers from Pennsylvania State University (Penn State) Detail New Studies a nd Findings in the Area of Robotics (Ugv-based Precision Spraying System for Che mical Apple Blossom Thinning On Trellis Trained Canopies)

    155-156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 originating from University Park, Pennsylvania, by New sRx correspondents, research stated, "Blossom thinning is one of the key steps i n apple crop load management that improves the quality of apples, reduces stress on the trees, and avoids the likelihood of biennial bearing. Conventional chemi cal blossom thinning such as air-blast spraying can lead to excessive use of che mical thinner to ensure full coverage, which can also cause leaf damage fruit ru sseting." Funders for this research include This study was supported by National Institute of Food and Agriculture, Agricultural Marketing Service, U.S. Department of Agr iculture, Northeast SARE, and College of Agricultural Sciences, Pennsylvania Sta te University., United States Department of Agriculture (USDA)'s National Instit ute of Food and Agriculture (NIFA) Federal Appropriations, Northeast Sustainable Agriculture Research and Education (SARE) Graduate Student Grant, Penn State Co llege of Agricultural Sciences (CAS) Graduate Student Competitive Grants Program .
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    Findings from Donghua University in the Area of Fatigue Reported (Recognizing an d Predicting Muscular Fatigue of Biceps Brachii In Motion With Novel Fabric Stra in Sensors Based On Machine Learning)

    156-157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 Fatigue . According to news reporting from Shanghai, People's Republic of China, by News Rx journalists, research stated, "Localized muscle fatigue is of major kinematic and medical significance in the field of sports and rehabilitations. However, o nly few works reported fatigue recognition for field training, and via analysis of only the noisesusceptible electromyography." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Innovation and Technology Commission, Hong Kong SAR Governme nt, Shanghai Pujiang Program, Fun-damental Research Funds for the Central Univers ities, Ministry of Education, China-111 Project, Key Laboratory of Textile Sci ence and Technology (Donghua University),Ministry of Education.
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    Patent Issued for Autonomous robotic system for placing and fastening paneling m aterial for building construction operations (USPTO 12090628)

    157-160页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors La cny, Christopher M (Indian Head Park, IL, US), Reardon, Noah (Chicago, IL, US), Zhang, Jiansong (Lafayette, IN, US), filed on August 31, 2023, was published onl ine on September 17, 2024. The assignee for this patent, patent number 12090628, is Purdue Research Foundat ion (West Lafayette, Indiana, United States). Reporters obtained the following quote from the background information supplied by the inventors: "This section introduces aspects that may help facilitate a be tter understanding of the disclosure. Ac-cordingly, these statements are to be re ad in this light and are not to be understood as admissions about what is or is not prior art.
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    'Determining A Time Point Of User Disengagement With A Media Item Using Audiovis ual Interaction Events' in Patent Application Approval Process (USPTO 2024031439 7)

    160-164页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventor S hin, Dongeek (San Jose, CA, US), filed on March 13, 2023, was made available onl ine on September 19, 2024, according to news reporting originating from Washingt on, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "A platform (e.g., a content platform) can trans mit (e.g., stream) media items to client devices connected to the platform via a network. A media item can include a video item and/or an audio item, in some in stances. Users can consume the transmitted media items via a graphical user inte rface (GUI) provided by the platform. In some instances, the user may choose to disengage with a transmitted media item before consuming the entire media item, such as to consume another media item or to access another platform. The user ma y wish to resume consumption of the transmitted media item at a later time witho ut having to consume the entire transmitted media item from the start. Rather, t he user may wish to resume at the last timestamp of the transmitted media item t hat the user consumed before disengaging."
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    Patent Application Titled 'Substrate Carrier Having Installation Structure For G as Diffuser' Published Online (USPTO 20240312817)

    165-167页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors CHIU, Ming-Chien (New Taipei, TW); CHUANG, Chia-Ho (New Taipei, TW); LEE, Kuo-Hua (New Taipei, TW); LYU, Jyun-Ming (New Taipei, TW); SHEN, En-Nien (New Ta ipei, TW), filed on December 14, 2023, was made available online on September 19,2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: " "Field of the Invention "The present disclosure relates to substrate (wafer) carriers, particularly to a front-opening unified pod (FOUP), and more particularly to a substrate carrier having an installation structure for a gas diffuser.
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    Patent Application Titled 'Conveyor Belt Lifting Mechanism And Online Operation And Maintenance Robot For Pipe Belt Conveyor' Published Online (USPTO 2024030808 4)

    168-172页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors GUO, Hongwei (Taiyuan City, CN); HU, Haijun (Taiyuan City, CN); LIU, Yuan (Taiyuan City, CN); WANG, Ying (Taiyuan City, CN); WEI, Peng (Taiyuan City, CN); WU, Zengfa (Taiyuan City, CN); YANG, Zhao (Taiyuan City, CN); YAO, Huiqiang (Ta iyuan City, CN); YUAN, Yuan (Taiyuan City, CN); ZHOU, Lidong (Taiyuan City, CN), filed on January 16, 2024, was made available online on September 19, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "The pipe belt conveyor is an important continuous belt convey or with high efficiency and environmental protection in modern production, with long conveying distance and large conveying capacity. The conveyor belt forms an enclosed pipe through a hexagonal idler group arrangement, which may convey mat erials in a closed way, and conveying lines may be arranged in a curved manner a ccording to topographic spatial variation. As an important part of the pipe belt conveyor, there are a large number of idlers, which are prone to wear, fracture and other problems during the operation of the conveyor, and may cause fire in serious cases. Therefore, it is particularly important to detect and maintain th e state of idlers.
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    Patent Issued for Mobile robot for cleaning (USPTO 12090650)

    173-177页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Case, James Philip (Los Angeles, C A, US), Dooley, Michael J. (Los Gatos, CA, US), Goel, Dhiraj (Bedford, MA, US), Gutmann, Steffen (Bedford, MA, US), Johnson, Collin Eugene (Bedford, MA, US), Ro manov, Nikolai (Oak Park, CA, US), filed on September 3, 2020, was published onl ine on September 17, 2024. The patent's assignee for patent number 12090650 is iRobot Corporation (Bedford, Massachusetts, United States). News editors obtained the following quote from the background information suppli ed by the inventors: "At their core, robotic floor cleaners integrate at least t wo primary functional systems: (1) a cleaning mechanism, which cleans the floor in the area where it is placed or moved across, and (2) a mobile robotic platfor m, which autonomously moves the cleaning mechanism across the floor to different places. Both of these functional systems must work adequately for the robot to be effective at cleaning. "While both functional systems set requirements and constraints on the design of the overall robot, the challenge of developing a mobile robotic platform that c an autonomously move around in nearly an infinite variety of highly unstructured environments (e.g., people's homes) tends to be the dominant consideration and has had a significant effect on the design of home cleaning robots to this date.
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