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Robotics & Machine Learning Daily News

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    Patent Issued for Object of interest detector distance-based multithresholding (USPTO 11900706)

    148-151页
    查看更多>>摘要：A patent by the inventors Beach, Allison (Leesburg, VA, US), Bondugula, Sravanthi (Vienna, VA, US), Lee, Sung Chun (Tysons, VA, US), Qian, Gang (McLean, VA, US), Ramanathan, Narayanan (Chantilly, VA, US), Taheri, Sima (McLean, VA, US), filed on September 24, 2020, was published online on February 13, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11900706 is assigned to ObjectVideo Labs LLC (Tysons, Virginia, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: "Doorbell cameras are becoming more and more popular. Some properties are equipped with monitoring systems that include doorbell cameras, other sensors, and connected system components." In addition to the background information obtained for this patent, NewsRx journalists also obtained the inventors' summary information for this patent: "Techniques are described for motion-based human video detection. "Some residents and homeowners equip their properties with monitoring systems to enhance the security, safety, or convenience of their properties. A property monitoring system can include cameras that can obtain visual images of scenes at the property. A camera can be incorporated into a component of the property monitoring system, such as a doorbell.
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    'Braking And Regeneration Control In A Legged Robot' in Patent Application Approval Process (USPTO 20240051150)

    151-153页
    查看更多>>摘要：A patent application by the inventors Berard, Stephen (Waltham, MA, US); Khripin, Alex (Waltham, MA, US); Rizzi, Alfred (Cambridge, MA, US), filed on September 14, 2023, was made available online on February 15, 2024, according to news reporting 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 information supplied by the inventors: "As technology advances, various types of robotic devices are being created for performing a variety of functions that may assist users. Robotic devices may be used for applications involving material handling, transportation, welding, assembly, and dispensing, among others. Over time, the manner in which these robotic devices operate is becoming more intelligent, efficient, and intuitive. As robotic systems become increasingly prevalent in numerous aspects of modern life, the desire for efficient robotic systems becomes apparent. Therefore, a demand for efficient robotic systems has helped open up a field of innovation in actuators, movement, sensing techniques, as well as component design and assembly."
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    Patent Application Titled 'Recording Device' Published Online (USPTO 20240051302)

    154-155页
    查看更多>>摘要：According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors HOZUMI, Daisuke (Kirishima-shi, Kagoshima, JP); IKEUCHI, Wataru (Kirishima-shi, Kagoshima, JP); KOIDE, Shohei (Kirishima-shi, Kagoshima, JP), filed on February 22, 2022, was made available online on February 15, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "A known recording device includes an inkjet printer or an inkjet plotter that utilizes an inkjet recording method of recording an image and the like by discharging liquid or a liquid droplet from a head. Regarding the above-described inkjet recording device utilizing an inkjet method, a technology to have stable discharge performance has been proposed." In addition to obtaining background information on this patent application, NewsRx editors also obtained the inventors' summary information for this patent application: "SUMMARY: "Solution to Problem "In an aspect of an embodiment, a recording device includes a liquid discharger rotatable around a predetermined rotation axis and configured to discharge liquid while circulating the liquid internally and a controller configured to control the liquid discharger to discharge a liquid droplet while reciprocating along a printing direction. The controller controls a position and a posture of the liquid discharger, and thus printing is started from a positive pressure side of the liquid circulating inside the liquid discharger."
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    Researchers Submit Patent Application, 'Tracking Objects With Changing Appearances', for Approval (USPTO 20240054776)

    155-158页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors Rao, Jinmeng (Sunnyvale, CA, US); Silva, Daniel Ribeiro (San Jose, CA, US), filed on October 27, 2023, was made available online on February 15, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information supplied by the inventors: "Objects may be tracked across multiple images (or frames) in various ways. In some cases, techniques such as bipartite graph matching may be employed to match one or more objects depicted in a first image with the same object(s) depicted in another image. Object tracking is often employed to track objects that either themselves move as multiple images are captured, or that are viewed from different perspectives across multiple images. While these objects may vary spatially across images, the objects themselves are usually relatively static in appearance." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "Implementations are described herein for tracking objects with changing appearances across temporally-disparate images. More particularly, but not exclusively, techniques are described herein for tracking biological objects that evolve, grow, or otherwise transition among different visual appearances between acquisition of images depicting those biological objects. Techniques described herein allow for the same biological object, such as a fruit, nut, berry, flower, or other plant-part-of-interest, to be tracked across two or more digital images that are captured days or even weeks apart, regardless of the object's changing appearance. Consequently, it is possible to localize that biological object over a relatively long period of time for purposes such as monitoring and/or predicting the biological object's growth, health, yield, etc.
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    Predicting fitness related traits using gene expression and machine learning

    158-159页
    查看更多>>摘要：According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: "Evolution by natural selection occurs at its most basic through the change in frequencies of alleles; connecting those genomic targets to phenotypic selection is an important goal for evolutionary biology in the genomics era. The relative abundance of gene products expressed in a tissue can be considered a phenotype intermediate to the genes and genomic regulatory elements themselves, and more traditionally measured macroscopic phenotypic traits such as flowering time, size, or growth. The high-dimensionality, low sample size nature of transcriptomic sequence data is a double-edged sword, however, as it provides abundant information but makes traditional statistics difficult. Machine learning has many features which handle high-dimensional data well and is thus useful in genetic sequence applications. "Here we examined the association of fitness-components with gene expression data in Ipomoea hederacea (Ivyleaf Morning Glory) grown under field conditions.
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