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Robotics & Machine Learning Daily News

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    "Obstacle Recognition Method,Apparatus,Device,Medium and Weeding Robot" in Pa tent Application Approval Process (USPTO 20240057492)

    148-152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 inventors Ren,Xue (Suzhou,Jiangsu Province,CN); Zhu,Shaoming (Suzhou,Jiangsu Province,CN),filed on December 22,2021,was made available online on February 22,202 4,according to news reporting originating from Washington,D.C.,by NewsRx corr espondents.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:"With the improvement of living standards,peopl e are increasingly concerned about environmental construction,so the constructi on of urban green gardens receives increasing attention.Meanwhile,efficient gr een maintenance,such as daily weeding,has gradually become a demand.However,because conventional weeding machines need manual control,weeding robots with a utonomous working functions are gradually emerging.
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    Patent Application Titled "Method for Determining the Deformation of Structural Elements of a Delta Robot" Published Online (USPTO 20240060769)

    152-153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 ntor NEVOLIN,Aleksandr Olegovich (Moscow,RU),filed on December 2,2021,was m ade available online on February 22,2024.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 invention relates to the field of measuring technology,in particular,to i nstruments for measuring in-motion only deformations of elements in the structur e of devices,preferably a delta robot."Description of Related Art "The prior art discloses a device for measuring structural deformation,which co mprises a channel,a transmitter connected to the first end of the channel,a re ceiver connected to the second end of the channel,and a controller.The channel is deformable,the controller orders the transmitter to transmit a signal,orde rs the receiver to capture one or more measurements of the transmitted signal,a nd determines the channel bend based on the one or more measurements.In one emb odiment,the transmitter is a light source,the channel is an optical fiber,and the receiver is a photodiode.In addition,the channel is made of a material wh ose refractive index changes depending on the applied mechanical stress.The def ormation measurement device may also include a polarizer located between the tra nsmitter and the channel,and a wave plate located between the channel and the r eceiver (U.S.Ser.No.10/429,210 B1,Oct.1,2019).
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    Patent Issued for End effector for mobile robot configured for tool changeout and breakaway (USPTO 11904458)

    154-158页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Onward Robotics Inc.(Pittsburgh,Penn sylvania,United States) has been issued patent number 11904458,according to ne ws reporting originating out of Alexandria,Virginia,by NewsRx editors.The patent's inventors are Altman,Vladimir (Pittsburgh,PA,US),Carithers,Kyl e (Wexford,PA,US),Galluzzo,Thomas (Gibsonia,PA,US),Geist,Jason (Sarver,PA,US).This patent was filed on March 9,2021 and was published online on February 20,2024.From the background information supplied by the inventors,news correspondents o btained the following quote:"Warehousing employers are facing increasing pressu res on cost and delivery time from the exploding e-commerce industry.This comes at a time when many companies are facing a national labor shortage of workers t o fill these warehouse jobs.For employees,these changes are demanding increase d pick rates and hours.Additionally,many in the warehouse workforce spend up to 90% of their time just walking from one item to the next.The re sult is unhappy employees with turnover rates harmful to business.The employees that stay typically experience high rates of work-related injuries from lifting and repetitive motions.
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    Grapevine Rootstock and Scion Genotypes' Symbiosis with Soil Microbiome:A Machi ne Learning Revelation for Climate-Resilient Viticulture

    158-158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 based on a preprint abstract,our journalists obtained the following quote sourced from bi orxiv.org:"Given the impact of climate change on agriculture,the development of resilient crop cultivars is imperative."A healthy plant microbiota is key to plant productivity,influencing nutrient a bsorption,disease resistance,and overall vigor.The plant genetic factors cont rolling the assembly of microbial communities are still unknown."Here we examine if Machine Learning can predict grapevine rootstock and scion g enotypes based on soil microbiota,despite environmental variability.The study utilized soil microbial bacteriome datasets from 281 vineyards across 13 countri es and five continents,featuring 34 different Vitis vinifera cultivars grafted onto,often ambiguous,rootstocks.Random Forests,Adaptive Boost,Gradient Boos t,Support Vector Machines,Gaussian and Bernoulli Naive Bayes,k-Nearest Neighb or,and Neural Networks algorithms were employed to predict continent,country,scion,and rootstock cultivar,under two filtering criteria:retaining sparse cl asses,ensuring class diversity,and excluding sparse classes assessing model ro bustness against overfitting.Both criteria showed remarkable F1-weighted scores (>0.8) for all classes,for most algorithms.Moreover,successful rootstock and scion genotype prediction from soil microbiomes confirm s that genotypes of both plant parts shape the microbiome.
      原文链接:
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