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    Patent Application Titled "Systems And Methods For Flight Control For An Electri c Aircraft" Published Online (USPTO 20240061445)

    144-146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 Freiheit, Collin (Burlington, VT, US); Moy, Nicholas (SOUTH BURLINGTON, VT , US), filed on August 18, 2022, was made available online on February 22, 2024. The assignee for this patent application is Beta Air LLC (South Burlington, Verm ont, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Automated control is indispensable in operating an electric v ehicle. A flight control system is paramount in operating an electric vehicle sa fely. It is important for a flight control system to allow a pilot to control an aircraft in an intuitive manner." In addition to obtaining background information on this patent application, News Rx editors also obtained the inventors' summary information for this patent appl ication: "In an aspect a flight control system for an electric aircraft includes a propulsor configured to generate lift to propel an electric aircraft, a pilot input mechanically coupled to the electric aircraft, a sensor communicatively c onnected to the pilot input, wherein the sensor is configured to detect an input datum as a function of the pilot input and transmit the input datum to a flight controller. The system further including a flight controller communicatively co nnected to the sensor, the flight controller configured to determine a command d atum to control the propulsor as a function of the input datum and an input mapp ing and change the input mapping as a function of a phase of flight.

    Patent Issued for Running gear (USPTO 11904934)

    146-148页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Agilox Systems GmbH (Neukirchen bei La mbach, Austria) has been issued patent number 11904934, according to news report ing originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventor is Schwaiger, Meinhard (Linz, AT). This patent was filed on January 25, 2018 and was published online on February 2 0, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "The invention relates to a running gear for transp ort devices having a guide ring and a wheel carrier which can be pivoted in the guide ring about an essentially vertical main axis of rotation and on which two wheels rotatable about a common axis of rotation are arranged. "In particular, the present invention relates to a drive system for highly agile and precisely controllable transport devices for the automated transport, picki ng up and delivery of goods, transport containers or pallets, as well as for hig hly agile platforms equipped with automated handling devices (e.g. gripping, sup porting, holding and clamping devices), automated work equipment (e.g. for rivet ing, screwing, welding, painting, grinding or polishing work), complex robot sys tems (e.g. jointed-arm robots) or other devices for performing tasks in particul arly endangered or inaccessible areas (e.g. remote-controlled detection, salvage or deactivation of potentially dangerous objects) with steerable wheel units in tegrated in the running gear. "From the GB 820 228 A a stacking vehicle with a U-shaped running gear is known, wherein each leg of the running gear has a wheel unit with steerable wheels. Th e wheel units can be operated centrally via a steering device."

    Patent Application Titled "Product Selection System" Published Online (USPTO 202 40059485)

    149-152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 GABRIELI, Shay (Ramat Yishai, IL); RINGART, Yigal Natan (Givat Ela, IL), f iled on January 16, 2022, was made available online on February 22, 2024. The assignee for this patent application is Aquabot Ltd. (Afula, Israel). Reporters obtained the following quote from the background information supplied by the inventors: "Increasingly, items are ordered remotely, e.g., via the inter net, smartphone applications, telephone, order management software provided by a warehouse or logistics company, or otherwise. Remote ordering enables a purchas er to order items from a convenient location, without the expense and time requi red to travel to and from a store. In particular, ordering of medications and ot her pharmaceutical products remotely may, in some cases, enable a person who is unable to travel (e.g., due to illness or other temporary or permanent disabilit y) to obtain these products conveniently and in a timely manner. Therefore, ware houses, distribution centers, or other facilities that are tasked with fulfillin g the orders must fulfill and deliver an increasing volume of orders with increa sing speed "In order to enable rapid, accurate, and efficient selection and packing of item s to fill orders, an order fulfillment facility may be automated to some extent. The automated equipment may be configured to select each item of the order (whi ch may include multiple units of single item), and collect the items of a single order into a single container (e.g., bin, basket, box, bag, or other container) . For example, an order to fill a medical prescription may include a single box of a medication, several boxes of a single type of medication, or several boxes of a variety of medications."

    Decoding Stability and Epistasis in Human Myoglobin by Deep Mutational Scanning and Codon-level Machine Learning

    152-152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: "Understanding the linkage between protein sequence and phenotypic expression le vel is crucial in biotechnology. Machine learning algorithms trained with deep m utational scanning (DMS) data have significant potential to improve this underst anding and accelerate protein engineering campaigns. "However, most machine learning (ML) approaches in this domain do not directly a ddress effects of synonymous codons or positional epistasis on predicted express ion levels. "Here we used yeast surface display, deep mutational scanning, and next-generati on DNA sequencing to quantify the expression fitness landscape of human myoglobi n and train ML models to predict epistasis of double codon mutants. When fed wit h near comprehensive single mutant DMS data, our algorithm computed expression f itness values for double codon mutants using ML-predicted epistasis as an interm ediate parameter. We next deployed this predictive model to screen > 3 {middle dot} 106 unseen double codon mutants in silico and exp erimentally tested highly ranked candidate sequences, finding 14 of 16 with sign ificantly enhanced expression levels.