期刊,Robotics & Machine Learning Daily News 2024年卷Jun.18期_国家学术搜索

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Robotics & Machine Learning Daily News

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Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News

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Findings from University of Augsburg Has Provided New Data on Robotics (Selectin g Feasible Trajectories for Robot-based X-ray Tomography By Varying Focus-detect or-distance In Space Restricted Environments)

115-115页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Augsburg, Germany, b y NewsRx correspondents, research stated, "Computed tomography has evolved as an essential tool for non-destructive testing within the automotive industry. The application of robot-based computed tomography enables high-resolution CT inspec tions of components exceeding the dimensions accommodated by conventional system s." Financial support for this research came from Dr. Ing. h.c. F. Porsche AG. Our news editors obtained a quote from the research from the University of Augsb urg, "However, large-scale components, e.g. vehicle bodies, often exhibit trajec tory-limiting elements. The utilization of conventional trajectories with consta nt Focus-Detector-Distances can lead to anisotropy in image data due to the inac cessibility of some angular directions. In this work, we introduce two approache s that are able to select suitable acquisitions point sets in scans of challengi ng to access regions through the integration of projections with varying Focus-D etector-Distances. The variable distances of the X-ray hardware enable the capab ility to navigate around collision structures, thus facilitating the scanning of absent angular directions. The initial approach incorporates collision-free vie wpoints along a spherical trajectory, preserving the field of view by maintainin g a constant ratio between the Focus-Object-Distance and the Object-Detector-Dis tance, while discreetly extending the Focus-Detector-Distance. The second method ology represents a more straightforward approach, enabling the scanning of angul ar sectors that were previously inaccessible on the conventional circular trajec tory by circumventing the X-ray source around these collision elements."

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Researchers at Central China Normal University Release New Data on Intelligent S ystems (Comparative Study of Typical Neural Solvers In Solving Math Word Problem s)

116-117页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing - Intelligent Systems have been published. According to news originating fro m Wuhan, People's Republic of China, by NewsRx correspondents, research stated, "In recent years, there has been a significant increase in the design of neural network models for solving math word problems (MWPs). These neural solvers have been designed with various architectures and evaluated on diverse datasets, posi ng challenges in fair and effective performance evaluation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Humanit ies and Social Sciences Youth Fund of the Ministry of Education.

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Research from Vilnius Gediminas Technical University in the Area of Machine Lear ning Published (Review And Experimental Comparison of Generative Adversarial Net works For Synthetic Image Generation)

116-116页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on artificial intelligence is the su bject of a new report. According to news originating from Vilnius, Lithuania, by NewsRx editors, the research stated, "The application of machine learning algor ithms has become widespread particularly in fields such as medicine, business, a nd commerce." Our news journalists obtained a quote from the research from Vilnius Gediminas T echnical University: "However, achieving accurate classification results with th ese algorithms often relies on large-scale training datasets, making data collec tion a lengthy and complex process. This paper reviews the current utilization o f generative adversarial network (GAN) architectures and discusses recent scient ific research on their practical applications."

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Research from Pusan National University Yields New Findings on Machine Learning (Predicting the stereoselectivity of chemical reactions by composite machine lea rning method)

117-118页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Pusan National University by NewsRx editors, research stated, "Stereoselective reactions have played a vit al role in the emergence of life, evolution, human biology, and medicine."Financial supporters for this research include National Science Foundation. Our news reporters obtained a quote from the research from Pusan National Univer sity: "However, for a long time, most industrial and academic efforts followed a trial-and-error approach for asymmetric synthesis in stereoselective reactions. In addition, most previous studies have been qualitatively focused on the influ ence of steric and electronic effects on stereoselective reactions. Therefore, q uantitatively understanding the stereoselectivity of a given chemical reaction i s extremely difficult. As proof of principle, this paper develops a novel compos ite machine learning method for quantitatively predicting the enantioselectivity representing the degree to which one enantiomer is preferentially produced from the reactions. Specifically, machine learning methods that are widely used in d ata analytics, including Random Forest, Support Vector Regression, and LASSO, ar e utilized. In addition, the Bayesian optimization and permutation importance te sts are provided for an in-depth understanding of reactions and accurate predict ion."

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Chengdu Fifth People's Hospital Reports Findings in Rectal Cancer (Robotic vs la paroscopic abdominoperineal resection for rectal cancer: A propensity score matc hing cohort study and meta-analysis)

118-119页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Rectal Canc er is the subject of a report. According to news reporting from Chengdu, People' s Republic of China, by NewsRx journalists, research stated, "Robotic surgery (R S) is gaining popularity; however, evidence for abdominoperineal resection (APR) of rectal cancer (RC) is scarce. To compare the efficacy of RS and laparoscopic surgery (LS) in APR for RC." The news correspondents obtained a quote from the research from Chengdu Fifth Pe ople's Hospital, "We retrospectively identified patients with RC who underwent A PR by RS or LS from April 2016 to June 2022. Data regarding short-term surgical outcomes were compared between the two groups. To reduce the effect of potential confounding factors, propensity score matching was used, with a 1:1 ratio betwe en the RS and LS groups. A meta-analysis of seven trials was performed to compar e the efficacy of robotic and laparoscopic APR for RC surgery. Of 133 patients, after propensity score matching, there were 42 patients in each group. The posto perative complication rate was significantly lower in the RS group (17/42, 40.5% ) than in the LS group (27/42, 64.3%) ( = 0.029). There was no sign ificant difference in operative time ( = 0.564), intraoperative transfusion ( = 0.314), reoperation rate ( = 0.314), lymph nodes harvested ( =0.309), or circum ferential resection margin (CRM) positive rate ( = 0.314) between the two groups . The meta-analysis showed patients in the RS group had fewer positive CRMs ( = 0.04), lesser estimated blood loss (<0.00001), shorter pos toperative hospital stays ( = 0.02), and fewer postoperative complications ( = 0 .002) than patients in the LS group."

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Study Findings from University of Douala Broaden Understanding of Support Vector Machines (A robust segmentation method combined with classification algorithms for field-based diagnosis of maize plant phytosanitary state)

119-120页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on have been published. Acc ording to news reporting from the University of Douala by NewsRx journalists, re search stated, "Early diagnosis of maize-plant phytosanitary state in the field is crucial to prevent crop damage and optimize yield." Our news correspondents obtained a quote from the research from University of Do uala: "However, this field diagnosis presents a challenge due to the variable ba ckground of the field environment, which can hinder the performance of classific ation algorithms. In this article, we introduced a novel segmentation technique using a combined normalized difference vegetation index that effectively isolate s the features of interest, such as the leaves, from the surrounding image, whic h includes the diverse field background. To assess the effectiveness of our segm entation approach, we conducted early diagnosis of maize plants in the field usi ng supervised classification algorithms. We generated a dataset that incorporate d four essential texture features: energy, entropy, contrast, and inverse. These features were extracted from each of the segmented images using grayscale co-oc currence matrices."

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Patent Application Titled 'Robot Logistics System' Published Online (USPTO 20240 174464)

120-126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 Moser, Carol M. (Santa Clara, CA, US); Moser, George G. (Santa Clara, CA, US), filed on January 28, 2023, was made available online on May 30, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Today, the number of consumers purchasing goods online has pu t tremendous pressure on the shipping operations of e-commerce retailers and shi pping carriers. Ecommerce retailers (e.g., Amazon, Walmart, Target) and the ship ping carriers that they employ in addition to their own delivery operations (UPS , FedEx and others) must manage the shipping of a growing number of deliveries w orldwide, with growing consumer expectations in terms of speed. Second Day, Next Day and even Same Day are becoming the new expectation and the new norm in ecom merce.

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'Systems And Methods For Efficiently Exchanging End Effector Tools' in Patent Ap plication Approval Process (USPTO 20240173872)

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 application by the inventors ALLEN, Thomas (Reading, MA, US); AMEND, JR., John Richard (Belmont, MA, US); FAR MER, William (Bolton, MA, US); GAUTHIER, Andrew (Somerville, MA, US); HINCHEY, V ictoria (Winchester, MA, US); MARONEY, Kyle (North Attleboro, MA, US); MASON, Ma tthew T. (Pittsburgh, PA, US); MUSGRAVE, Richard (Sewickley, PA, US); NASEEF, Sa muel (Medford, MA, US); WAGNER, Thomas (Concord, MA, US), filed on October 30, 2 023, was made available online on May 30, 2024, according to news reporting orig inating 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 informa tion supplied by the inventors: "The invention generally relates to programmable motion systems and relates in particular to end effectors for programmable moti on devices (e.g., robotic systems) for use in object processing such as object s ortation.

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Patent Application Titled 'Offline Teaching Device And Offline Teaching Method' Published Online (USPTO 20240176314)

131-133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 HIRAYAMA, Masaya (Osaka, JP); OKAZAKI, Yoshiyuki (Shiga, JP); OKUMA, Katsu aki (Osaka, JP), filed on December 22, 2023, was made available online on May 30 , 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "Patent Literature 1 discloses an offline teaching device that displays, on a model diagram, an operation trajectory of a robot when a teachin g program is executed and displays a part of a plurality of position detection c ommands and a part of a plurality of welding commands. The offline teaching devi ce includes a display unit that displays a teaching program and a model diagram, a storage unit that stores commands constituting the teaching program and model data of the model diagram, and a control unit that controls the display unit an d the storage unit. The teaching program includes a position detection program c onstituted by a plurality of position detection commands and a welding program c onstituted by a plurality of welding commands. Here, the commands, the position detection program, and the welding program constituting the teaching program are each created by an operator."

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Patent Application Titled 'Robot' Published Online (USPTO 20240173848)

133-134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 ICHIMIYA, Yuta (Matsumoto, JP); NAKAMURA, Takayuki (Shiojiri, JP); TAMURA, Yosaku (Azumino, JP); YANO, Kazuhisa (Shiojiri, JP), filed on November 22, 2023 , was made available online on May 30, 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 to a robot. "A robot described in JP-A-2011-093066 is provided with a base, a first arm rota tably connected to the base around a first rotation axis, a second arm rotatably connected to the first arm around a second rotation axis parallel to the first rotation axis, and a working head supported by the second arm. In addition, the second arm includes an arm base, a joint actuator which is installed on the arm base and is configured by a motor, a decelerator, and the like, and a cover whic h is detachably and attachably mounted on the arm base. The cover is mounted on the arm base so as to cover the joint actuator and other drive systems installed on the arm base. When the joint actuator and other drive systems installed on t he arm base of the second arm are inspected or repaired, an operation of detachi ng the cover from the arm base is performed.

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