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Robotics & Machine Learning Daily News

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    Patent Issued for Workpiece container system (USPTO 11874596)

    141-143页
    查看更多>>摘要:From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Chiu, Ming-Chien (New Taipei, TW), Chuang, Chia-Ho (New Taipei, TW), Hsueh, Hsin-Min (New Taipei, TW), Lin, Shu-Hung (New Taipei, TW), Wen, Hsing-Min (New Taipei, TW), filed on March 30, 2021, was published online on January 16, 2024. The patent’s assignee for patent number 11874596 is Gudeng Precision Industrial Co. Ltd. (New Taipei, Taiwan). News editors obtained the following quote from the background information supplied by the inventors: “In semiconductor industry, workpiece containers (e.g., photomask/reticle retainer) have evolved with the heightened precision requirements of the payload thereof, in order to meet the demand for increased level of workpiece protection from potential ambient hazards.

    Patent Issued for Robot system (USPTO 11872686)

    144-145页
    查看更多>>摘要:Kabushiki Kaisha Yaskawa Denki (Fukuoka, Japan) has been issued patent number 11872686, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Iida, Manabu (Fukuoka, JP), Konno, Tsuyoshi (Fukuoka, JP), Yoshino, Katsuhiko (Fukuoka, JP). This patent was filed on December 7, 2021 and was published online on January 16, 2024. From the background information supplied by the inventors, news correspondents obtained the following quote: “There have been known robots configured to operate by driving each of a plurality of joint portions. End effectors suitable for applications such as welding and gripping are attached to distal ends of such robots, and various operations such as machining and moving workpieces are performed. “Further, there have been proposed dust removal systems configured to remove dust from a workpiece by using a dust-removing robot equipped with an end effector for dust removal (for example, refer to JP 2010-89010 A).”

    'Conditional Camera Control Via Automated Assistant Commands' in Patent Application Approval Process (USPTO 20240022809)

    145-150页
    查看更多>>摘要:A patent application by the inventors Carbotta, Domenico (Zurich, CH); Carbune, Victor (Zurich, CH); Chen, Ray (Altendorf, CH); Fu, Kevin (Taipei, TW); Garg, Neha (Palo Alto, CA, US); Kothari, Luv (Sunnyvale, CA, US); Lee, Fo (Taipei, TW); Lu, Mucun (Taipei, TW); Miao, Matthew (San Jose, CA, US); Miklos, Balint (Zurich, CH); Poblocka, Barbara (Zurich, CH); Prisacari, Bogdan (Adliswil, CH); Qian, Thomas (Santa Clara, CA, US); Sannazzaro Natta, Jacopo (Berkeley, CA, US); Seo, Jae (Palo Alto, CA, US); Sharifi, Matthew (Kilchberg, CH); Weissenberger, Felix (Zurich, CH), filed on August 8, 2023, was made available online on January 18, 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: “Humans may engage in human-to-computer dialogs with interactive software applications referred to herein as “automated assistants” (also referred to as “digital agents,” “chatbots,” “interactive personal assistants,” “intelligent personal assistants,” “conversational agents,” etc.). For example, humans (which when they interact with automated assistants may be referred to as “users”) may provide commands and/or requests using spoken natural language input (i.e., utterances) which may in some cases be converted into text and then processed, and/or by providing textual (e.g., typed) natural language input.

    'Robot And Positioning Method' in Patent Application Approval Process (USPTO 20240017924)

    150-153页
    查看更多>>摘要:A patent application by the inventor WANG, Huapei (Beijing, CN), filed on November 24, 2021, was made available online on January 18, 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: “With the rapid development of intelligent warehouse systems, robots have begun to be widely used in various intelligent warehouse systems, to improve the efficiency of goods flow. According to different goods transportation needs, the types of robots are diversified, and different kinds of robots are used in different goods transportation scenarios. In order to ensure the safety of transportation process and the accuracy of delivery results, the robots need to be positioned in the process of transporting goods using the robots, and the integrity of transportation process is ensured by the positioning information.

    Patent Issued for Automation system and a method for injecting transactional services in automation (USPTO 11875158)

    153-157页
    查看更多>>摘要:From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Ludwig, Hartmut (West Windsor, NJ, US), Wang, Lingyun (Princeton, NJ, US), filed on February 18, 2020, was published online on January 16, 2024. The patent’s assignee for patent number 11875158 is Siemens Aktiengesellschaft (Munich, Germany). News editors obtained the following quote from the background information supplied by the inventors: “1. Field “Aspects of the present invention generally relate to an automation system and a method for injecting transactional services in automation. “2. Description of the Related Art “Automation functions, automation equipment, and automation engineering systems and tools are all locked into the vendor specific eco-systems today. The common automation services as listed as follows, Costs calculation, Quality of Service verification, Security, Safety, Intellectual protection, Performance, key performance indicator (KPI) calculation, Versioning, Diagnostic, Prognostic, and Tracing require “transactional” knowledge of the system. For example, to implement a cost calculation service based on the movement of robot arms. The knowledge of the number of movements and the parameters (e.g. distance) of each movement is required for the calculation. Today, such services require very tight integration with the automation function program. In many cases, they are part of one monolithic body of code. Therefore, it is very difficult to develop, deploy, integrate, and enable during operation, such automation services for a given automation system, let alone reusing the developed automation services. In this document, these services are referred to as “transactional automation services” or “interceptors”. Throughout this document the mechanism to manage these services will be referred to as “gatekeeper”.

    Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models

    157-157页
    查看更多>>摘要:According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from medrxiv.org: “The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. “There is a need to establish an automated tool to identify the severity of trauma injuries across various body regions. “We gather trauma registry data from a Level I Trauma Center at the University of Wisconsin-Madison (UW Health) between 2015 and 2019. “Our study utilizes clinical documents and structured electronic health records (EHR) variables linked with the trauma registry data to create two machine learning models with different approaches to representing text. The first one fuses concept unique identifiers (CUIs) extracted from free text with structured EHR variables, while the second one integrates free text with structured EHR variables. Both models demonstrate impressive performance in categorizing leg injuries, achieving high accuracy with macro-F1 scores of around 0.8. Additionally, they show considerable accuracy, with macro- F1 scores exceeding 0.6, in assessing injuries in the areas of the chest and head. Temporal validation is conducted to ensure temporal generalizability.