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    Patent Application Titled 'Dual Robot Including Splayed End Effec- tors And Systems And Methods Including Same' Published Online (USPTO 20240042595)

    144-147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 Cox, Damon K. (Jarrell, TX, US); Hudgens, Jeffrey C. (San Francisco, CA, US); Muthukamatchi, Karuppasamy (Madurai, IN), filed on October 19, 2023, was made available online on February 8, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Electronic device manufacturing systems can include process tools having multiple chambers, such as process chambers and one or more load lock chambers. Such process chambers may be used to carry out any number of processes on substrates (e.g., silicon-containing wafers, both patterned and unpatterned, masked wafers, glass plates, silica-containing articles, and the like) such as deposition, oxidation, nitration, etching, diffusing, growing, implanting, polishing, cleaning, lithography, metrology, and the like. "Within such process tools, a plurality of such chambers may be distributed about a transfer chamber, for example. A robot may be at least partially contained within the transfer chamber and may be configured and adapted to transport substrates between the various chambers. For example, transfers may be between process chambers, or between process chambers and the one or more load lock chambers."

    Researchers Submit Patent Application, 'Handling Robot', for Ap- proval (USPTO 20240043207)

    147-152页
    查看更多>>摘要:From Washington, D.C., NewsRx journalists report that a patent application by the inventors CHEN, Yuqi (Shenzhen, CN); CHENG, Jui-Chun (Shenzhen, CN); XU, Shengdong (Shenzhen, CN), filed on September 13, 2023, was made available online on February 8, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information supplied by the inventors: "Intelligent warehousing is a link in the logistics process. The application of intelligent warehousing ensures the speed and accuracy of data input in all aspects of warehouse management of inventory items, thereby ensuring that an enterprise can grasp the real data of the inventory in a timely and accurate manner, and reasonably maintain and control inventory of the enterprise. It is also convenient to manage a batch, a shelf life, etc. of inventory items through scientific coding. Using a location management function, it is possible to grasp current location of all inventory items in time, which is conducive to improve an efficiency of warehouse management.

    'Method And System For Inventorying Items, Robot Control Appa- ratus And Robot' in Patent Application Approval Process (USPTO 20240046202)

    152-156页
    查看更多>>摘要:A patent application by the inventors CHEN, Yami (BEIJING, CN); WANG, Hong- wei (BEIJING, CN); ZHE, Wenming (BEIJING, CN), filed on November 23, 2021, was made available online on February 8, 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: "At present, the inventory is mainly performed manually during item inventorying. A staff reads an RFID (Radio Frequency Identification) electronic tag provided on an item using a PDA (Personal Digital Assistant), and compares tag data with electronic tag information of inventory items to realize item inventorying." In addition to the background information obtained for this patent application, NewsRx journalists also obtained the inventors' summary information for this patent application: "According to a first aspect of the embodiments of the present disclosure, there is provided a method for inventorying items performed by a robot control apparatus, comprising: transmitting a second signal with a first frequency through a first transmitting antenna in a case where a first signal with the first frequency transmitted by a main controller is received through a receiving antenna during driving a robot to move along a preset path, to cause each of a plurality of storage-bin electronic tags receiving the second signal to transmit a third signal with the first frequency; transmitting a fourth signal with a second frequency through a second transmitting antenna, to cause each of a plurality of item electronic tags receiving the fourth signal to transmit a fifth signal with the second frequency; taking one of a plurality of third signals, which has a maximum signal strength, as a target signal in a case where the plurality of the third signals are received through the receiving antenna; taking a storage-bin corresponding to a storage-bin electronic tag transmitting the target signal as a target storage-bin, and extracting item electronic tag information associated with the target storage-bin from an information base; acquiring a inventorying result of the target storage-bin according to a plurality of pieces of tag information and the item electronic tag information in a case where the plurality of pieces of tag information transmitted by an electronic tag receiver are received, wherein the electronic tag receiver acquires the tag information from the fifth signal; and transmitting the inventorying result of the target storage-bin to the main controller.

    Patent Issued for Inspection robot for horizontal tube inspection having sensor carriage (USPTO 11892322)

    156-159页
    查看更多>>摘要:Gecko Robotics Inc. (Pittsburgh, Pennsylvania, United States) has been issued patent number 11892322, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Auda, Michael S. (Pittsburgh, PA, US), Bryner, Edward (Pittsburgh, PA, US), Cho, Edwin H. (Pittsburgh, PA, US), Cho, Mark (Pittsburgh, PA, US), Low, Kevin (Pittsburgh, PA, US), Mackenzie, Logan (Union City, PA, US), Moore, Joshua (Pittsburgh, PA, US). This patent was filed on March 15, 2022 and was published online on February 6, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: "The present disclosure relates to robotic inspection and treatment of industrial surfaces." Supplementing the background information on this patent, NewsRx reporters also obtained the inven- tors' summary information for this patent: "The present disclosure describes an inspection apparatus, the apparatus according to one disclosed non-limiting embodiment of the present disclosure can include a drive module including a pair of wheels structured to engage a top tube of a vertically arranged layer of tubes, at least one telescoping pole, a sensor carriage assembly coupled to the at least one telescoping pole, and a lowering mechanism operationally coupled to the at least one telescoping pole and structured to selectively extend or retract the at least one telescoping pole thereby providing a selected vertical position of the sensor carriage assembly.

    Patent Issued for Internal chatbot universe with a universal com- munication protocol (USPTO 11895062)

    159-162页
    查看更多>>摘要:From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Cimpian, Castigliana (San Francisco, CA, US), Golani, Sushil (Charlotte, NC, US), Shah, Priyank R. (Plano, TX, US), Yannam, Ramakrishna R. (The Colony, TX, US), filed on June 30, 2021, was published online on February 6, 2024. The patent's assignee for patent number 11895062 is Bank of America Corporation (Charlotte, North Carolina, United States). News editors obtained the following quote from the background information supplied by the inventors: "Chatbots are used to automate conversations and interact with humans through various communi- cation platforms. Chatbots may be powered by pre-programmed responses, artificial intelligence and/or machine learning in order to answer questions with or without contacting a live human agent. As such, chatbots can be used in lieu of providing direct contact with a live human agent. Chatbots may simulate conversations with a human using text, text-to-speech or speech-to-speech. "Many entities maintain a single chatbot. The single chatbot may include information relating to a specific domain of intents. For example, the entity may relate to selling furniture. As such, the chatbot may be trained to respond to information requests relating to furniture.

    Patent Issued for Power optimization in an artificial intelligence processor (USPTO 11892896)

    162-165页
    查看更多>>摘要:2024 FEB 22 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A patent by the inventors Honnavara-Prasad, Sushma (San Jose, CA, US), filed on November 18, 2020, was published online on February 6, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11892896 is assigned to Groq Inc. (Mountain View, California, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: "The present disclosure relates to optimizing power, and in particular, to power optimization in an artificial intelligence processor. "Power and performance are two critical factors that impact integrated circuits. Achieving higher performance, such as faster processing speeds and lower latencies, for example, are a constant goal. However, higher performance typically comes with a price-increased power consumption. Increased power consumption can lead to a wide range of problems, including heat generation, (in the aggregate) increased costs for electricity, or in extreme cases, system failure.

    'Motion Control of a Robotic Load Handling Device' in Patent Application Approval Process (USPTO 20240045435)

    166-172页
    查看更多>>摘要:A patent application by the inventor JORGE, Tiago Nuno Miguens Rijo Branco Rapoula (Hatfield, Hertfordshire, GB), filed on December 21, 2021, was made available online on February 8, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Ocado Innovation Limited (Hatfield, Hertfordshire, United King- dom). The following quote was obtained by the news editors from the background information supplied by the inventors: "Storage systems comprising a three-dimensional storage grid structure, within which storage containers/bins are stacked on top of each other, are well known. PCT Publication No. WO2015/185628A (Ocado) describes a known storage and fulfilment system in which stacks of bins or containers are arranged within a grid framework structure. The bins or containers are accessed by load handling devices (otherwise known as a "bot") operative on tracks located on the top of the grid framework structure. A system of this type is illustrated schematically in FIGS. 1 to 3 of the accompanying drawings.

    Patent Issued for Ear-wearable device shell modeling (USPTO 11893324)

    172-175页
    查看更多>>摘要:Starkey Laboratories Inc. (Eden Prairie, Minnesota, United States) has been issued patent number 11893324, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Zhang, Tao (Eden Prairie, MN, US). This patent was filed on August 31, 2022 and was published online on February 6, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: "An ear-wearable device is a device designed to be worn on or in a user's ear. Example types of ear- wearable devices include hearing aids, earphones, earbuds, telephone earpieces, and other types of devices designed to be worn on or in a user's ear. "Some ear-wearable device manufacturers rely on highly-skilled operators to design ear-wearable devices using three-dimensional modeling software. When an ear-wearable device is produced, these highly-skilled operators and/or audiologists may make physical modifications to outer shells of the ear-wearable devices, for example, to ease user discomfort or otherwise shape the outer shells based on manufacturer or clinician needs. Manual modeling and shaping ear-wearable devices in this way is time consuming, expensive, and can lead to inconsistencies, e.g., due to variations in operator skill level and techniques."

    Development of a novel in silico classification model to assess reac- tive metabolite formation in the cysteine trapping assay and inves- tigation of important substructures

    175-176页
    查看更多>>摘要:2024 FEB 22 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: "Predicting whether a compound can cause drug-induced liver injury (DILI) is difficult due to the complexity of its mechanism. The production of reactive metabolites is one of the major causes of DILI, particularly idiosyncratic DILI. The cysteine trapping assay is one of the methods to detect reactive metabo- lites which bind to microsomes covalently. "However, it is cumbersome to use 35S isotope-labeled cysteine for this assay. Therefore, we constructed an in silico classification model for predicting a positive/negative outcome in the cysteine trapping assay to accelerate the drug discovery process. "In this study, we collected 475 compounds (436 in-house compounds and 39 publicly available drugs). Using a Message Passing Neural Network (MPNN) and Random Forest (RF) with extended connectivity fingerprint (ECFP) 4, we built machine learning models to predict the covalent binding risk of compounds. The 5-fold cross-validation (CV) and hold-out test were evaluated in random- and time-split trials. Ad- ditionally, we investigated the substructures that contributed to positive results in the cysteine trapping assay through the framework of the MPNN model.

    Using machine learning to integrate genetic and environmental data to model genotype-by-environment interactions

    176-176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: "Complementing phenotypic traits and molecular markers with high-dimensional data such as climate and soil information is becoming a common practice in breeding programs. This study explored new ways to integrate non-genetic information in genomic prediction models using machine learning (ML). Using the multi-environment trial data from the Genomes To Fields initiative, different models to predict maize grain yield were adjusted using various inputs: genetic, environmental, or a combination of both, either in an additive (genetic-and-environmental; G+E) or a multiplicative (genotype-by-environment interaction; GEI) manner. When including environmental data, the mean predictive ability of machine learning genomic prediction models increased from 7-9% over the well-established Factor Analytic Multiplicative Mixed Model (FA) among the three cross-validation scenarios evaluated. Moreover, using the G+E model was more advantageous than the GEI model given the superior, or at least comparable, predictive ability, the lower usage of computational memory and time, and the flexibility of accounting for interactions by construction.