查看更多>>摘要：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: “ “Field of the Invention “The present invention relates to augmented reality, and, in particular, to a co mputer device and a method for displaying an augmented-reality (AR) virtual keyb oard.
查看更多>>摘要：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 following description relates to a method and system f or controlling a plurality of robots driving in a specific area, such as a confi ned area. “A self-driving robot refers to a robot that finds an optimal route to a destina tion using wheels or legs while looking around on its own and detecting obstacle s, and such a robot is being developed and used in various fields, such as in th e fields of self-driving vehicles, logistics, hotel services, and robot cleaners .
查看更多>>摘要：No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “With the improvement of living standards, people are incre asingly concerned about environmental construction, so the construction of urban green gardens receives increasing attention. Meanwhile, efficient green mainten ance, such as daily weeding, has gradually become a demand. However, because con ventional weeding machines need manual control, weeding robots with autonomous w orking functions are gradually emerging.
查看更多>>摘要：No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “The invention relates to a method for operating a mobile, sel f-moving appliance, in particular a floor cleaning appliance, such as a vacuum c leaning and/or sweeping robot, in a wall following mode, as well as a mobile, se lf-moving appliance that can be operated according to such a method.
查看更多>>摘要：No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors:“ “Technical Field “The aspect of the embodiments relates to an image processing method using a mac hine learning model. “Description of the Related Art
查看更多>>摘要：The patent’s assignee for patent number 11915154 is EMC IP Holding Company LLC ( Hopkinton, Massachusetts, United States). News editors obtained the following quote from the background information suppli ed by the inventors: “In recent years, with the progress of artificial intellige nce (AI) technology, application programs that employ AI models (such as, but no t limited to, machine learning (ML) applications, deep learning (DL) application s, and data mining (DM) applications) have enabled significant development in ma ny fields. However, as AI models become more complicated and need larger data se ts, execution of such models requires more computing resources. Currently, due t o limitations of computing capability and communication bandwidth of computing d evices, a single computing device cannot typically satisfy the demands of a larg e-scale AI model. Therefore, efficient deployment and execution of AI models has become a focus of current research.”
查看更多>>摘要：The assignee for this patent, patent number 11911892, is Boston Dynamics Inc. (W altham, Massachusetts, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Unless otherwise indicated herein, the materials described in this section are not prior art to the claims in this application and are not ad mitted to be prior art by inclusion in this section.
查看更多>>摘要：The patent’s inventors are Keller, Henrik (Dusseldorf, DE), Schaab, Dieter (Augs burg, DE). This patent was filed on November 27, 2019 and was published online on February 27, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: “DE 10 2016 210 496 A1 discloses a patient-position ing device, comprising a patient table comprising a lying surface and a robotic arm which has a plurality of links arranged one behind the other, rotatably moun ted with respect to axes and a fastening device to which the patient table is fa stened, wherein the links of the robotic arm comprise a robotic hand which compr ises hand links and the fastening device, and wherein a first link of the links of the robotic arm is mounted in the region of one of its two ends so as to rota te with respect to a vertically extending axis, a second link of the links of th e robotic arm is mounted in the region of one of its two ends in the region of t he other end of the first link so as to rotate with respect an axis extending ho rizontally relative to the first link, and the robotic hand is mounted in the re gion of the other end of the second link so as to rotate with respect to a furth er axis extending horizontally relative to the second link, wherein the horizont ally extending axis is aligned at a distance parallel to the further horizontall y extending axis.”
查看更多>>摘要：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 current state of the art is to perform calibration onl ine (i.e. in real time, with some latency) because typically these measurements are used downstream for real-time applications. Given the timecritical nature o f some real-time applications, it becomes pointless to calibrate if it is not do ne so in a timely manner. So, existing calibration algorithms have to be optimiz ed for highly constrained hardware and software limitations. Therefore, existing algorithms trade-off quality for reduced latency. There is interest in receivin g highly accurate measurements before it is used offline for training an AI/ML m odel to make a critical (e.g., a health-related) inference or decision. So, tech nically, the calibration algorithms have no theoretical limitations on the compu te power or latency. One novel aspect of the present invention is to use all of the data needed to effectively back-calibrate the erroneous measurements offline resulting in lower overall cumulative error.
查看更多>>摘要：The patent’s inventors are Chopra, Akshay (Singapore, SG), Dill, Matthew (Singap ore, SG). This patent was filed on June 16, 2017 and was published online on February 27, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: “The background description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the p resently named inventors, to the extent it is described in this background secti on, as well as aspects of the description that may not otherwise qualify as prio r art at the time of filing, are neither expressly nor impliedly admitted as pri or art against the present disclosure.
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