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    Study Results from Technical University of Liberec Provide New Insights into Rob otics (Modelling, Analysis and Comparison of Robot Energy Consumption for Three- Dimensional Concrete Printing Technology)

    105-106页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news originating from Liberec, Czech Republic, by NewsRx ed itors, the research stated, "The technology used for the 3D printing of building s from concrete is currently a very relevant and developing topic and appears to be especially advantageous in terms of sustainable production. An important asp ect of the sustainability assessment is the energy efficiency of the printing ro bots." Financial supporters for this research include Student Grant Competition; Europe an Structural And Investment Funds.
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    Findings from Leibniz University Hannover in Robotics Reported (Sponge: Open-sou rce Designs of Modular Articulated Soft Robots)

    106-107页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from Hannover, Germany, by NewsR x correspondents, research stated, "Soft-robot designs are manifold, but only a few are publicly available. Often, these are only briefly described in their pub lications." Financial support for this research came from German Research Foundation (DFG). Our news editors obtained a quote from the research from Leibniz University Hann over, "This complicates reproduction and hinders the reproducibility and compara bility of research results. If the designs were uniform and open source, validat ing researched methods on real benchmark systems would be possible. To address t his, we present two variants of a soft pneumatic robot with antagonistic bellows as open source. Starting from a semi-modular design with multiple cables and tu bes routed through the robot body, the transition to a fully modular robot with integrated microvalves and serial communication is highlighted. Modularity in te rms of stackability, actuation, and communication is achieved, which is the cruc ial requirement for building soft robots with many degrees of freedom and high d exterity for real-world tasks. Both systems are compared regarding their respect ive advantages and disadvantages."
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    Recent Findings from China University of Petroleum Provides New Insights into Ma chine Learning (On the Evaluation of Coal Strength Alteration Induced By Co2 Inj ection Using Advanced Black- Box and White- Box Machine Learning ...)

    109-110页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Machine Learning have be en published. According to news reporting out of Beijing, People's Republic of C hina, by NewsRx editors, research stated, "The injection of carbon dioxide (CO2) into coal seams is a prominent technique that can provide carbon sequestration in addition to enhancing coalbed methane extraction. However, CO2 injection into the coal seams can alter the coal strength properties and their long-term integ rity." Our news journalists obtained a quote from the research from the China Universit y of Petroleum, "In this work, the strength alteration of coals induced by CO2 e xposure was modeled using 147 laboratorymeasured unconfined compressive strengt h (UCS) data points and considering CO2 saturation pressure, CO2 interaction tem perature, CO2 interaction time, and coal rank as input variables. Advanced white -box and black-box machine learning algorithms including Gaussian process regres sion (GPR) with rational quadratic kernel, extreme gradient boosting (XGBoost), categorical boosting (CatBoost), adaptive boosting decision tree (AdaBoost-DT), multivariate adaptive regression splines (MARS), K-nearest neighbor (KNN), gene expression programming (GEP), and group method of data handling (GMDH) were used in the modeling process. The results demonstrated that GPR-Rational Quadratic p rovided the most accurate estimates of UCS of coals having 3.53%, 3 .62%, and 3.55% for the average absolute percent rela tive error (AAPRE) values of the train, test, and total data sets, respectively. Also, the overall determination coefficient (R-2) value of 0.9979 was additiona l proof of the excellent accuracy of this model compared with other models. More over, the first mathematical correlations to estimate the change in coal strengt h induced by CO2 exposure were established in this work by the GMDH and GEP algo rithms with acceptable accuracy. Sensitivity analysis revealed that the Spearman correlation coefficient shows the relative importance of the input parameters o n the coal strength better than the Pearson correlation coefficient. Among the i nputs, coal rank had the greatest influence on the coal strength (strong nonline ar relationship) based on the Spearman correlation coefficient. After that, CO2 interaction time and CO2 saturation pressure have shown relatively strong nonlin ear relationships with model output, respectively. The CO2 interaction temperatu re had the smallest impact on coal strength alteration induced by CO2 exposure b ased on both Pearson and Spearman correlation coefficients."
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    Study Findings from Old Dominion University Broaden Understanding of Artificial Intelligence (Shift of Ambidexterity Modes: an Empirical Investigation of the Im pact of Artificial Intelligence In Customer Service)

    111-112页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ar tificial Intelligence. According to news reporting originating in Norfolk, Virgi nia, by NewsRx journalists, research stated, "To manage the trade-offs between e xploration and exploitation, customer service organizations typically choose a s pecific ambidexterity mode, such as structural separation or behavioral integrat ion, that suits their context. However, recent research suggests that organizati ons need to dynamically change their ambidexterity modes to better align with ch anging environmental and organizational contexts." Financial support for this research came from US Army Research Laboratory (ARL). The news reporters obtained a quote from the research from Old Dominion Universi ty, "This study examines the impact of AI in facilitating the shift across vario us modes of ambidexterity in customer service organizations. Our findings reveal that achieving shifts in ambidexterity modes is challenging, and organizations must overcome technology, business process, and stakeholder related barriers. Ba sed on our findings, we develop a set of propositions for further investigation. "
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    Researchers Submit Patent Application, "Systems And Methods For Baby Bottle Manu facturing", for Approval (USPTO 20240161399)

    113-115页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-From Washington, D.C., NewsRx journalists report that a patent application by the inventors Amiel, Hagai (Las Vegas, NV, US); Zee v, Shilo Ben (Las Vegas, NV, US), filed on November 17, 2023, was made available online on May 16, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: "Feeding devices, such as baby bottles, are often used to f eed babies from newborns to toddlers for various reasons. Reasons for using a fe eding device include, but are not limited to: latching difficulties by the baby, inability for the mother to produce enough milk, feeding by a caregiver or phys ician other than the mother, inability for the mother to breastfeed for health r easons, weaning of the baby, etc." As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors' summary information for this patent application: "The summary is a high-level overview of various aspects of the in vention and introduces some of the concepts that are further detailed in the Det ailed Description section below. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used in isolation to determine the scope of the claimed subject matter. The subject matter should be understood by reference to the appropriate portions of the enti re specification, any or all drawings, and each claim.
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    Patent Application Titled "Mopping Extension For A Robotic Vacuum" Published Onl ine (USPTO 20240156312)

    117-121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 Bautista, Renee (San Francisco, CA, US); Ebrahimi Afrouzi, Ali (Henderson, NV, US); Mehrnia, Soroush (Helsingborg, SE), filed on December 21, 2023, was ma de available online on May 16, 2024. The assignee for this patent application is AI Incorporated (Toronto, Canada). Reporters obtained the following quote from the background information supplied by the inventors: "More efficient methods for cleaning are continuously sought a fter to meet consumer demands. This can be seen in robotic floor cleaning device s through software changes, such as improved navigation systems, and hardware ch anges, including stronger and more energy efficient motors, improved brush desig ns, improved debris storage containers, etc. Robotic floor cleaning devices also generally specialize in different functions, such as mopping, vacuuming, or pol ishing.
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    "Object Enrollment In A Robotic Cart Coordination System" in Patent Application Approval Process (USPTO 20240160212)

    122-124页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Amer, Mohamed R. (San Francisco, CA, US); Brooks, Rodney Allen (San Francisco, C A, US); Jules, Anthony Sean (Hillsborough, CA, US); Koch, Sebastian), filed on N ovember 15, 2022, was made available online on May 16, 2024, according to news r eporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Robust AI Inc. (Palo Alto, California, Un ited States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "A robot may more accurately interact with objec ts in a physical environment if it possesses an accurate representation of those objects. However, generating a suitable representation of an object involves ma ny technical challenges. For example, objects may appear differently in differen t orientations, locations, and lighting conditions. As another example, objects may be occasionally occluded by other objects or stacked and arranged in a varie ty of ways. Given the importance of robotic object interaction, improved techniq ues for determining accurate representations of physical objects are desired."
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    Patent Issued for Community assignments in identity by descent networks and gene tic variant origination (USPTO 11984196)

    127-130页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent by the inventors Byrnes, Jake Kelly (San Francisco, CA, US), Doroud, Ladan (Millbrae, CA, US), Granka, Julie M. (San Francisco, CA, US), Hateley, Shannon (San Francisco, CA, US), filed on N ovember 19, 2021, was published online on May 14, 2024, according to news report ing originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11984196 is assigned to Ancestry.com Dna LLC (Lehi, Utah, United S tates). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "The disclosed embodiments relate to assessing p opulations in which a variant of interest may have arisen and propagated and dis covering historical populations from the pattern of genetic relationships betwee n people.
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    "Systems And Methods For Continuous Mode Force Testing" in Patent Application Ap proval Process (USPTO 20240159607)

    133-137页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Benjamin, Dan (Atlanta, GA, US); Dueweke, Michael (Campbell, CA, US); Liu, Allan (HsinChu, TW), filed on November 22, 2023, was made available online on May 16, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Nextinput Inc. (Mountain View, California , United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "When testing sensors such as force sensors and strain gauges, it is often required to evaluate sensor response over a range of input values in order to assess performance to specifications. Current technique s for testing require a range of force or strain values to be applied and to sta bilize each force or strain mechanically and wait for electrical signal variatio ns to stabilize prior to taking each measurement. The repeated process of applyi ng a force or strain, waiting for mechanical and electrical stabilization, takin g a measurement of both force or strain and electrical signal, and applying an a dditional force or strain value is time consuming and costly.
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    Patent Application Titled "Tokenized Commodity Tendering On A Distributed Platfo rm" Published Online (USPTO 20240163101)

    142-145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 ntor Guzik, Stanley (Ridgewood, NJ, US), filed on November 11, 2022, was made av ailable online on May 16, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: " "The present disclosure relates generally to smart contracts for use with a dist ributed ledger, and more specifically tendering a commodity between parties usin g smart contract on a blockchain platform. "A distributed ledger, as used throughout this document, refers to a computer-on ly technology that enables a distributed recordation of transactions maintained by a network of computers. A blockchain is a type of distributed ledger, which i ncludes digitally-recorded, unmodifiable data in packages called blocks. A distr ibuted ledger is a consensus of replicated, shared, and synchronized digital dat a geographically spread across multiple computers which may be in different site s, countries, and/or institutions maintained by many different parties. A distri buted ledger can be public, such as Bitcoin, where there is no limitation on who may participate in the network, or private, where only approved parties are per mitted to participate in the network.
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