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    Researchers Submit Patent Application, 'Robotic Automated Filling And Capping Sy stem For Vape Oil Cartridges', for Approval (USPTO 20240182197)

    124-127页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Bumatai, Mary (Palm Spring s, CA, US); Coats, Ryan (Menifee, CA, US), filed on February 16, 2024, was made available online on June 6, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "The present disclosure relates generally to robotic automa ted manufacturing technologies, particularly systems and methods for filling flu id containers, and more particularly to a mobile fully autonomous filling, dosin g, capping, and sanitizing system for vape oil cartridges, disposables, and rese rvoirs. "There are numerous systems in the prior art for automatically filling container s in various manufacturing sectors. These include bottling sodas and milk, filli ng ink cartridges, and even filling cartridges with explosives. These filling pr ocedures may be automated and are well known. "In general, current practices for filling and capping vape oil cartridges are p erformed either by hand fill or partial hard automation. With the filling being done by hand, human error often leads to variations in the fill amount. The amou nt of liquid dispensed into a cartridge measured through the suction apparatuses used cannot be accurately measured unless performed in a separate procedure. Ad ditionally, the temperature of the liquid must remain consistent to provide an a ccurate amount of dispensing. The parameters involved to complete a filling proc ess with accuracy and speed can only be done through repetitive consistent motio n.
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    'Detection Of A Solar Panel For A Robotic Work Tool' in Patent Application Appro val Process (USPTO 20240180072)

    127-130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 Andersson, Jonathan (Jonkoping, SE); Celozzi, Carmine (Jonkoping, SE); Hejderup, Jonas (Boras, SE); Kowalska, Kamila (Mullsjo, SE); Ottvar, Adam (Goteborg, SE); Svenningsson, Peter (Goteborg, SE), filed on December 1, 2023, was made availab le online on June 6, 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: "Automated or robotic work tools such as robotic lawnmowers are becoming increasingly more popular and so is the use of the robo tic work tool in various types of operational areas. Such operational areas, in particular for robotic work tools being robotic lawnmowers, sometimes include so lar panels. Some designs for solar panels is a panel with solar cells that is ca rried by poles. As solar panels cover a large area and are above ground, there a re problems with maintaining the area under them, for example the grass.
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    'Assessment Of Artificial Intelligence Errors Using Machine Learning' in Patent Application Approval Process (USPTO 20240185090)

    131-133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 BARR, Brian (Schenectady, NY, US); BEAN, Kenny (Herndon, VA, US); GOODSITT, Jere my (Champaign, IL, US); RAFFERTY, Galen (Mahomet, IL, US); SHARPE, Samuel (Cambr idge, MA, US); WALTERS, Austin (Savoy, IL, US), filed on December 5, 2022, was m ade available online on June 6, 2024, according to news reporting originating fr om Washington, 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: "Artificial intelligence describes different way s that a machine interacts with an environment. Through advanced, human-like int elligence (e.g., provided by software and hardware), an artificial intelligence system may perceive an environment and take actions that maximize a chance of ac hieving goals. Machine learning is an approach, or a subset, of artificial intel ligence, with an emphasis on learning rather than just computer programming. A m achine learning system may utilize complex models to analyze a massive amount of data, recognize patterns among the data, and generate an output (e.g., a predic tion, a classification, or the like) without requiring a human to program specif ic instructions."
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    Patent Issued for Electrode-misalignment detection device in resistance welder ( USPTO 12000695)

    134-136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 Na kamura, Keiji (Tokyo, JP), Yajima, Teruhiko (Tokyo, JP), Yokoi, Masahiro (Tokyo, JP), filed on December 13, 2021, was published online on June 4, 2024. The assignee for this patent, patent number 12000695, is Subaru Corporation (Tok yo, Japan). Reporters obtained the following quote from the background information supplied by the inventors: "The disclosure relates to electrode-misalignment detection de vices in resistance welders, and particularly, to a device that detects electrod e misalignment in a resistance welder that joins a plurality of joint members to gether by clamping the joint members and applying pressure and electricity there to. "Resistance welding is favorable as one of joining methods in terms of less dist ortion, good external appearance, and short welding time, and has been widely us ed particularly for manufacturing vehicle bodies in the automotive industry. It is known that resistance welding, also commonly called spot welding, is mainly a chieved by melting joint members using Joule's heat produced in accordance with contact resistance between the joint members. In order to efficiently increase t his Joule's heat, a plurality of (normally two) joint members are pressed and el ectrified while being held between opposing electrodes.
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    Patent Application Titled 'Biasing Machine Learning Model Outputs' Published Onl ine (USPTO 20240185369)

    136-139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 BARR, Brian (Schenectady, NY, US); BEAN, Kenny (Herndon, VA, US); GOODSITT , Jeremy (Champaign, IL, US); RAFFERTY, Galen (Mahomet, IL, US); SHARPE, Samuel (Cambridge, MA, US); WALTERS, Austin (Savoy, IL, US), filed on December 5, 2022, was made available online on June 6, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Artificial intelligence describes different ways that a machi ne interacts with an environment. Through advanced, human-like intelligence (e.g ., provided by software and hardware), an artificial intelligence system may per ceive an environment and take actions that maximize a chance of achieving goals. Machine learning is an approach, or a subset, of artificial intelligence, with an emphasis on learning rather than just computer programming. A machine learnin g system may utilize complex models to analyze a massive amount of data, recogni ze patterns among the data, and generate an output (e.g., a prediction, a classi fication, or the like) without requiring a human to program specific instruction s."
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    Patent Application Titled 'Method And Apparatus For Providing Text Information I ncluding Text Extracted From Content Including Image' Published Online (USPTO 20 240185623)

    139-144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 CHOI, Kain (Seongnam-si, KR); HYEON, Jae Ho (Seongnam-si, KR); JANG, Taeye ong (Seongnam-si, KR); KANG, TaeJong (Seongnam-si, KR); KIM, Hyekyung (Seongnam- si, KR); KIM, Hyeong Gyu (Seongnam-si, KR); KIM, Hyo Jae (Seongnam-si, KR); LEE, Jihoon (Seongnamsi, KR); LEE, Sang Kuk (Seongnam-si, KR); LEE, Soon Hyong (Seo ngnam-si, KR); LIM, SeungTaek (Seongnam-si, KR); OH, SeungGeun (Seongnam-si, KR) ; OH, Seungwook (Seongnam-si, KR); PARK, Junhyun (Seongnam-si, KR); YOON, Seungs eob (Seongnam-si, KR), filed on November 30, 2023, was made available online on June 6, 2024. No assignee for this patent application has been made.
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    'Operation For A Robotic Work Tool' in Patent Application Approval Process (USPT O 20240182074)

    144-147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 Andersson, Jonathan (Jonkoping, SE); Hagele, Georg (Oxie, SE); Jonnarth, Arvi (J onkoping, SE); Mudy, Kamil (Partille, SE), filed on December 1, 2023, was made a vailable online on June 6, 2024, according to news reporting originating from Wa shington, 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: "Automated or robotic work tools such as robotic lawnmowers are becoming increasingly more popular and so is the use of the robo tic work tool in various types of operational areas, such as gardens, parks, spo rts fields, airfields and so on. Such operational areas, in particular for robot ic work tools being robotic lawnmowers, are often visited by humans or animals, and in such areas the robotic work tool can both be a nuisance to humans or anim als and potentially also pose a risk of injury even if only a small risk, at lea st as perceived by humans. Especially where large robotic work tools are used, h umans or animals may be startled if a robotic work tool comes close to them or i f they accidentally come upon one, almost walking in to one.
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