期刊,Robotics & Machine Learning Daily News 2024年卷Mar.7期_国家学术搜索

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Robotics & Machine Learning Daily News

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Studies from Henan University of Technology Yield New Data on Robotics (Kinemati cs Inverse Solution of Assembly Robot Based On Improved Particle Swarm Optimizat ion)

95-95页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news reporting originating from Zhengzhou, People's Republic of China, by N ewsRx correspondents, research stated, "Inverse kinematics of robot is the basis of robot assembly, which directly determines the pose of robot. Because the tra ditional inverse solution algorithm is limited by the robot topology structure, singular pose and inverse solution accuracy, it affects the use of robots." Our news editors obtained a quote from the research from the Henan University of Technology, "In order to solve the above problems, an improved particle swarm o ptimization (PSO) algorithm is proposed to solve the inverse problem of robot. T his algorithm initializes the particle population based on joint angle limitatio ns, accelerating the convergence speed of the algorithm. In order to avoid falli ng into local optima and premature convergence, we have proposed a nonlinear wei ght strategy to update the speed and position of particles, enhancing the algori thm's search ability, in addition introducing a penalty function to eliminate pa rticles exceeding joint limits. Finally, the positions of common points and sing ular points are selected on PUMA 560 robot and redundant robot for inverse kinem atics simulation verification."

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Peking University School and Hospital of Stomatology Reports Findings in Artific ial Intelligence (Digital pathology-based artificial intelligence models for dif ferential diagnosis and prognosis of sporadic odontogenic keratocysts)

96-97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 Artificial Intelligenc e is the subject of a report. According to news reporting originating from Beiji ng, People's Republic of China, by NewsRx correspondents, research stated, "Odon togenic keratocyst (OKC) is a common jaw cyst with a high recurrence rate. OKC c ombined with basal cell carcinoma as well as skeletal and other developmental ab normalities is thought to be associated with Gorlin syndrome." Our news editors obtained a quote from the research from the Peking University S chool and Hospital of Stomatology, "Moreover, OKC needs to be differentiated fro m orthokeratinized odontogenic cyst and other jaw cysts. Because of the differen t prognosis, differential diagnosis of several cysts can contribute to clinical management. We collected 519 cases, comprising a total of 2 157 hematoxylin and eosin-stained images, to develop digital pathology-based artificial intelligence (AI) models for the diagnosis and prognosis of OKC. The Inception_ v3 neural network was utilized to train and test models developed from patch-lev el images. Finally, whole slide image-level AI models were developed by integrat ing deep learning-generated pathology features with several machine learning alg orithms. The AI models showed great performance in the diagnosis (AUC = 0.935, 9 5% CI: 0.898-0.973) and prognosis (AUC = 0.840, 95%CI : 0.751-0.930) of OKC. The advantages of multiple slides model for integrating o f histopathological information are demonstrated through a comparison with the s ingle slide model. Furthermore, the study investigates the correlation between A I features generated by deep learning and pathological findings, highlighting th e interpretative potential of AI models in the pathology. Here, we have develope d the robust diagnostic and prognostic models for OKC."

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Researchers at Norwegian Geotechnical Institute Report New Data on Geotechnical Engineering (Evaluation Structures for Machine Learning Models In Geotechnical E ngineering)

96-96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 En gineering-Geotechnical Engineering. According to news reporting originating fr om Oslo, Norway, by NewsRx correspondents, research stated, "There is currently a lot of interest in applying machine learning (ML) techniques to problems in ge otechnical (soil and rock) engineering and adjacent fields such as engineering g eology. Recent literature emphasizes the need to focus beyond methodological cha llenges, and the importance of data centricity, transparency, suitability for pr actice and geotechnical context-together, the so-called ‘data-centric geotechn ics." Our news editors obtained a quote from the research from Norwegian Geotechnical Institute, "This review paper offers additional perspective to be contemplated f or successful applications of ML in geotechnics: one should explore and discuss (i) the problem to be solved, (ii) the type, quality and quantity of data, and ( iii) the methodology/algorithm. The paper further discusses that more strict gui delines and protocols are required for evaluating data and trained ML models if they are to be accepted and successfully integrated into practice." According to the news editors, the research concluded: "In the transition to dat a-centric practices, geotechnical engineering, a traditionally data-poor field, has much to learn from fields where decisionmaking based on data has a long and rich history."

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New Findings in Machine Learning Described from Universidad de Oriente (Machine learning regression algorithms to predict emissions from steam boilers)

97-98页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Research findings on artificial intelligence are discussed in a new report. According to news originating from Santiago de Cuba, Cuba, by NewsRx editors, the research stated, "Currently, the modeling of comple x chemical-physical processes is drastically influencing industrial development. Therefore, the analysis and study of the combustion process of the boilers usin g machine learning (ML) techniques are vital to increase the efficiency with whi ch this equipment operates and reduce the pollution load they contribute to the environment." Our news journalists obtained a quote from the research from Universidad de Orie nte: "This work aims to predict the emissions of CO, CO2, NOx, and the temperatu re of the exhaust gases of industrial boilers from real data. Different ML algor ithms for regression analysis are discussed. The following are input variables: ambient temperature, working pressure, steam production, and the type of fuel us ed in around 20 industrial boilers. Each boiler's emission data was collected us ing a TESTO 350 Combustion Gas Analyzer. The modeling, with a machine learning a pproach using the Gradient Boosting Regression algorithm, showed better performa nce in the predictions made on the test data, outperforming all other models stu died. It was achieved with predicted values showing a mean absolute error of 0.5 1 and a coefficient of determination of 99.80%. Different regressio n models (DNN, MLR, RFR, GBR) were compared to select the most optimal."

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Peking University China-Japan Friendship School of Clinical Medicine Reports Fin dings in Machine Learning (Novel endotypes of antisynthetase syndrome identified independent of anti-aminoacyl transfer RNA synthetase antibody specificity that ...)

98-99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 Machine Learning is th e subject of a report. According to news reporting out of Beijing, People's Repu blic of China, by NewsRx editors, research stated, "To systemically analyse the heterogeneity in the clinical manifestations and prognoses of patients with anti synthetase syndrome (ASS) and evaluate the transcriptional signatures related to different clinical phenotypes. A total of 701 patients with ASS were retrospect ively enrolled." Funders for this research include National High Level Hospital, National Natural Science Foundation of China, China-Japan Friendship Hospital. Our news journalists obtained a quote from the research from the Peking Universi ty China-Japan Friendship School of Clinical Medicine, "The clinical presentatio n and prognosis were assessed in association with four anti-aminoacyl transfer R NA synthetase (ARS) antibodies: anti-Jo1, anti-PL7, anti-PL12 and anti-EJ. Unsup ervised machine learning was performed for patient clustering independent of ant i-ARS antibodies. Transcriptome sequencing was conducted in clustered ASS patien ts and healthy controls. Patients with four different anti-ARS antibody subtypes demonstrated no significant differences in the incidence of rapidly progressive interstitial lung disease (RP-ILD) or prognoses. Unsupervised machine learning, independent of anti-ARS specificity, identified three endotypes with distinct c linical features and outcomes. Endotype 1 (RP-ILD cluster, 23.7%) w as characterised by a high incidence of RP-ILD and a high mortality rate. Endoty pe 2 (dermatomyositis (DM)-like cluster, 14.5%) corresponded to pat ients with DM-like skin and muscle symptoms with an intermediate prognosis. Endo type 3 (arthritis cluster, 61.8%) was characterised by arthritis an d mechanic's hands, with a good prognosis. Transcriptome sequencing revealed tha t the different endotypes had distinct gene signatures and biological processes. Anti-ARS antibodies were not significant in stratifying ASS patients into subgr oups with greater homogeneity in RP-ILD and prognoses."

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Hokkaido University Researchers Broaden Understanding of Machine Learning (Optim izing Shared E-Scooter Operations Under Demand Uncertainty: A Framework Integrat ing Machine Learning and Optimization Techniques)

99-100页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting from Hokkaido, Japan, by NewsRx jo urnalists, research stated, "The emergence of dockless shared e-scooters as a ne w form of shared micromobility offers a viable solution to specific urban transp ortation problems, including the first-mile-last-mile issue, parking constraints, and environmental emissions." The news reporters obtained a quote from the research from Hokkaido University: "However, this sharing service faces several challenges in daily operation, part icularly related to demand volatility, battery recharging, maintenance, and regu lations, owing to their trip and physical characteristics. Therefore, this study proposed a new data-driven rebalancing framework for dockless shared e-scooters that incorporates demand and variance prediction, and Monte Carlo sampling to s imulate the expected demand. Thus, demand uncertainty and the collection of low- battery and broken e-scooters were included in the rebalancing formulation to mi nimize user dissatisfaction and operating costs. Rebalancing optimization is an NP-hard problem; in this study, the small-size problem was solved using the inte ger linear programming (ILP) solver GNU Linear Programming Kit, and the large-si ze problem was solved using the proposed hybrid ant colony optimization-ILP algo rithm (ACO-ILP)."

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Researchers from China Jiliang University Report on Findings in Robotics (Contin uous adaptive gaits manipulation for threefingered robotic hands via bioinspire d fingertip contact events)

100-101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 robotics is now availab le. According to news originating from Hangzhou, People's Republic of China, by NewsRx correspondents, research stated, "The remarkable skill of changing its gr asp status and relocating its fingers to perform continuous in-hand manipulation is essential for a multifingered anthropomorphic hand. A commonly utilized meth od of manipulation involves a series of basic movements executed by a high-level controller." Funders for this research include National Natural Science Foundation of China; Zhejiang Province Natural Science Foundation; Fundamental Research Funds For The Provincial Universities of Zhejiang; Key Research And Development Program of Zh ejiang Province.

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"Systems And Methods Of Guarding A Mobile Robot" in Patent Application Approval Process (USPTO 20240061428)

101-105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 Diaz-Lankenau, Guillermo (Santa Clara, CA, US); Murphy, Michael (Carlisle, MA, U S); Nehrkorn, Mark (Oregon, IL, US); Perkins, Alexander (Lincoln, MA, US); Vicen tini, Federico (Lexington, MA, US), filed on August 10, 2023, was made available online on February 22, 2024, according to news reporting originating from Washi ngton, D.C., by NewsRx correspondents. This patent application is assigned to Boston Dynamics Inc. (Waltham, Massachuse tts, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "A robot is generally defined as a reprogrammabl e and multifunctional manipulator designed to move material, parts, tools, and/o r specialized devices (e.g., via variable programmed motions) for performing tas ks. Robots may include manipulators that are physically anchored (e.g., industri al robotic arms), mobile devices that move throughout an environment (e.g., usin g legs, wheels, or traction-based mechanisms), or some combination of one or mor e manipulators and one or more mobile devices. Robots are currently used in a va riety of industries, including, for example, manufacturing, warehouse logistics, transportation, hazardous environments, exploration, and healthcare."

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Patent Issued for Natural language processing using context (USPTO 11908480)

105-109页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Amazon Technologies Inc. (Seattle, Was hington, United States) has been issued patent number 11908480, according to new s reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Evans, Adrian (Lake Tapps, WA, US), Narayanan, Naresh (Seattle, WA, US), Teng, Da (Sammamish, WA, US). This patent was filed on March 23, 2020 and was published online on February 20, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: "Natural language processing systems have progresse d to the point where humans can interact with computing devices using their voic es and natural language textual input. Such systems employ techniques to identif y the words spoken and written by a human user based on the various qualities of a received input data. Speech recognition combined with natural language unders tanding processing techniques enable speech-based user control of a computing de vice to perform tasks based on the user's spoken commands. Speech recognition an d natural language understanding processing techniques may be referred to collec tively or separately herein as natural language processing. Natural language pro cessing may also involve converting a user's speech into text data which may the n be provided to various text-based software applications.

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Patent Application Titled "Robotic Gripper" Published Online (USPTO 20240058971)

109-112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 GUO, Jin (Singapore, SG); KHIN, Phone May (Singapore, SG); LOW, Jin Huat ( Singapore, SG); YEOW, Chen Hua (Singapore, SG), filed on June 15, 2021, was made available online on February 22, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "The field of robotics has been advancing to address the growi ng demand for greater efficiency and productivity in many manufacturing industri es. Many companies produce robotic grippers that are used for various purposes i n manufacturing and automation. For example, in food manufacturing, traditional rigid grippers and vacuum packaging systems are used for food picking and packag ing for automation process. However, traditional grippers have difficulties to p erform such tasks well because the rigidity of grippers may damage the delicate food items without proper force control and the vacuum packaging system can only lift items with clean flat smooth surfaces. There are thus limitations to the a pplications of such rigid grippers and vacuum systems in the food sector, partic ularly since food items come in diverse range of shapes, sizes, textures, and or ientations (such as on a conveyor belt for picking) which makes it challenging f or conventional grippers to manipulate these items.

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