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    "Controller Of An Industrial-Robotic-Air-Frying System (Irafs)" in Patent Applic ation Approval Process (USPTO 20240057812)

    145-148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 Ben-David, David (Rehovot, IL); Gordin, Yair (Modiin, IL), filed on October 31, 2023, was made available online on February 22, 2024, according to news reportin g originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Kitchen Robotics Ltd. (Modiin, Israel). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Deep oil fryers are traditionally used to cook numerous food products. Products such as but not limited to french-fries, chicke n, chicken wings, onion rings, etc. Usually, these food products are prepared fr om frozen ingredients. The throughput of such a deep oil fryer is about 60 pound s/hr (27.22 kg/hr). Along the present disclosure and the claims the terms oil, l ard, fat may be used interchangeably and the term oil may be used as representat ive term of this group. Along the present disclosure and the claims the terms fr ench-fries, chicken, chicken-wings and onion-rings can be used interchangeably a nd the term french-fries may be used as representative term of this group. "A common frying place in a commercial kitchen may comprise several sections. Th e first section is a frozen-dispenser that is configured to store frozen product s, such as frozen french-fries, and to dispense a certain amount of frozen produ cts into a frying-basket. The second section is the deep-oil-fryer (DOF). An ope rator, according to the type of product, sets the duration of frying and puts th e frying-basket in the DOF. The next section is the fry-station, which can be re ferred also as serving section, in which the fried products are placed in order to be delivered to one or more customers. In some kitchens a seasoning station c an be located after the serving section.
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    "Paper Jam Indication Estimation Device, Paper Jam Indication Estimation Method, And Recording Medium" in Patent Application Approval Process (USPTO 20240059516 )

    148-150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 MATSUMURA, Toshiyuki (Osaka, JP); WADA, Madoka (Osaka, JP), filed on October 17, 2023, was made available online on February 22, 2024, according to news reporti ng originating from 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: "In paper feed devices that feed paper to image reading devices such as printers or image copying devices (what are known as "sc anners"), paper jams may occur due to, for example, feeding multiple sheets of p aper together, skewed feeding, staples in the paper, and the like. Depending on the severity of the paper jam, not only will the work be delayed, but the paper itself may be damaged to the point of being unusable. What is needed, therefore, is a technique for the early detection of paper jams. "PTL 1, for example, discloses a technique in which an ultrasonic wave transmitt ed from an ultrasonic transmitter provided in a part of a medium supporter is re ceived by an ultrasonic receiver provided in another part of the medium supporte r, and whether the medium is lifting off a placement surface (called "paper lift ing" hereinafter) is determined based on the sound pressure of the received ultr asonic wave."
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    Researchers Submit Patent Application, "Systems And Methods For Detecting Contac t Between A Link And An External Object", for Approval (USPTO 20240058970)

    150-154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 EYRE, Nicholas J. (Redwood City, CA, US); HUANG, Yanan (Sunnyvale, CA, US); MAO, Ying (San Mateo, CA, US); MARKEE, Mason Myles (Pacifica, CA, US); SPIES, Alex C. (Redwood City, CA, US); WILSON, Colin Allen (Burlingame, CA, US); YANG, Bo (Mountain View, CA, US), file d on October 30, 2023, was made available online on February 22, 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: "Robotically-enabled medical system may be capable of perfo rming a variety of medical procedures, including both minimally invasive, such a s laparoscopy, and non-invasive, such as endoscopy, procedures. Among endoscopic procedures, the system may be capable of performing bronchoscopy, ureteroscopy, gastroscopy, etc. "Such robotic medical systems may include robotic arms configured to control the movement of medical tool(s) during a given medical procedure. In order to achie ve a desired pose of a medical tool, a robotic arm may be placed into a pose tha t may cause the robotic arm to come into contact with another object in the envi ronment. Unintended contact or collisions with such external objects can adverse ly impact the robotic medical system and/or the external object, and thus it is desirable to detect such collisions." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "The systems, methods and devices of this disclosure each have sev eral innovative aspects, no single one of which is solely responsible for the de sirable attributes disclosed herein.
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    A circadian behavioral analysis suite for real-time classification of daily rhyt hms in complex behaviors

    154-154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: "Measuring animal behavior over long timescales has been traditionally limited t o behaviors that are easily measurable with real-time sensors. More complex beha viors have been measured over time, but these approaches are considerably more c hallenging due to the intensive manual effort required for scoring behaviors. Re cent advances in machine learning have introduced automated behavior analysis me thods, but these often overlook long-term behavioral patterns and struggle with classification in varying environmental conditions. "To address this, we developed a novel pipeline to automate pre-existing machine learning behavior classifiers and a novel attentive long short-term memory sequ encing model for robust, long-term analysis of behavior. "Our system automatically classifies nine home cage behaviors with a performance approaching that of expert-level human labelers. Critically, classification occ urs continuously, across multiple animals, and in real time.
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