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    Studies from University of Clermont-Auvergne Yield New Data on Robotics and Auto mation (A Soft Variable Stiffness Gripper With Magnetorheological Fluids for Robust and Reliable Grasping)

    84-85页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting originating from Clermont-Ferrand, France, by NewsRx correspondents, research stated,“This lette r describes a new type of soft robotic grippers with variable stiffness to grasp efficiently a wide variety of objects. The gripper includes two sections, a pne umatic chamber for actuation and a tippingsection for adjusting stiffness and s hape adaptation.”Financial support for this research came from EU Horizon 2020 Research and Innov ation Program.Our news editors obtained a quote from the research from the University of Clerm ont-Auvergne, “Thetipping section consists of Magneto-rheological (MR) fluid, a magnetic source, and a tactile sensor. TheMR fluid is responsible for changing the stiffness and it is solidified using the magnetic source which is acombina tion of magnetic elastomer, an electromagnet, and a permanent magnet. The tactil e sensor isembedded within the soft finger to detect contact with the object an d to trigger the magnetic source.Five experiments have been conducted to evalua te the gripper’s performance, stiffness, and success rate.Results indicate that the proposed soft gripper is an effective design that can ensure robust graspin g of awide variety of objects. Furthermore, the study demonstrates that our des ign can change stiffness in lessthan one millisecond while increasing the appli ed force by approximately 2.5 times.”
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    Researcher from Autonomous University Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Applications of Artificial Intelligence in Dentomaxillofacial Diagnostics)

    85-86页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom Autonomous University by NewsRx journalists, research stated, “The introduction of artificial intelligence-driven applications is revolutionizing dentomaxillofacial imaging.”The news correspondents obtained a quote from the research from Autonomous Unive rsity: “To describethe current status of artificial intelligence applications i n dentomaxillofacial diagnostics; to assesstheir impact; and to identify future directions for research and implementation. A narrative review wasperformed, u sing systematic searches in databases such as PubMed, Google Scholar, IEEE Xplor e, amongothers; the study focused on articles published from 2010 to the presen t. Researches applying artificialintelligence technologies in dentomaxillofacia l diagnosis were included; their quality and relevance were evaluated using the established tools. Artificial intelligence, especially deep learning, has shown significantimprovements in image segmentation, disease detection and treatment planning in dentomaxillofacial imaging.Artificial intelligence techniques have enabled automation of image analysis tasks, improved efficiencyand diagnostic a ccuracy.”
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    New Machine Learning Study Findings Have Been Reported by Investigators at Imperial College (Learning Closure Relations Using Differentiable Programming: an Example In Radiation Transport)

    86-87页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of London, United Kingdom, by Ne wsRx editors, research stated, “Reduced order models with aprioriunknown closu re relations are ubiquitous in transport problems. In this work, we present a machine-learning approach to finding closure relations utilising differentiable pr ogramming.”Funders for this research include Eric and Wendy Schmidt AI in Science Postdocto ral Fellowship,Schmidt Futures program.Our news journalists obtained a quote from the research from Imperial College, “ We use the Su Olsonradiation transport test problem as an example training data set. We present novel closures for secondangular moment (variable Eddington fa ctor), third angular moment and flux-limited diffusion models.We evaluate the i mprovement of the machine-learnt closures over those from the literature. Theseimprovements are then tested by considering a modification to the Su Olson probl em.”
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    Nanjing Medical University Reports Findings in Artificial Intelligence (Factors affecting the use of artificial intelligence generated content by subject librarians: A qualitative study)

    87-88页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Jiangsu , People’s Republic of China, by NewsRx journalists, research stated,“To explor e the factors affecting the use of artificial intelligence generated content (AI GC) by subjectlibrarians through understanding their perceptions of AIGC. Inter pretive phenomenological analysis (IPA)and technology acceptance model (TAM) we re used in semi-structured interviews to explore the externalvariables of perce ived ease of use and perceived usability of AIGC application in subject libraria ns.”The news reporters obtained a quote from the research from Nanjing Medical Unive rsity, “The perceptionsof subject librarians towards AIGC included performance, risk perceptions, ability enhancement, andaffective attitude. Attentions were paid to AIGC’s performances in providing customized services, optimizingcollect ion resources and improving cost efficiency. The risk perception involved techni cal stability,data security, user acceptance and occupational risk, the ability enhancement involved the improvementof personal literacy, innovative ability, and self-confidence through the use of AIGC technology, and theaffective attitu des included not only excitement and anticipation for the technical potential of AIGC, butalso concerns and skepticism about it, and critical attitudes toward its application in academic settings andthe ethical issues it may raise. TAM an alysis on the factors affecting the use of AIGC by subject librariansindicates that the external influencing factors of perceived ease of use include personal literacy, innovativeability, self-confidence enhancement and affective attitude ; the external influencing factors of perceivedusability include precise servic e, collection resource optimization, cost-effectiveness, technological risk, user acceptance and occupational risk. These factors constitute a theoretical frame work for understandingand promoting the acceptance and effective use of AIGC by subject librarians.”
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    Researchers from Tsinghua University Describe Findings in Robotics and Automation (A Spatial Calibration Method for Robust Cooperative Perception)

    88-89页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Robotics and Automation. According tonews reporting originating in Bei jing, People’s Republic of China, by NewsRx journalists, research stated,“Coope rative perception is a promising technique for intelligent and connected vehicle s through vehicleto-everything (V2X) cooperation, provided that accurate pose i nformation and relative pose transformsare available. Nevertheless, obtaining p recise positioning information often entails high costs associatedwith navigati on systems.”Financial support for this research came from National Key Ramp;D Program of Chi na.The news reporters obtained a quote from the research from Tsinghua University, “Hence, it is requiredto calibrate relative pose information for multi-agent co operative perception. This letter proposes a simplebut effective object associa tion approach named context-based matching (CBM), which identifies interagento bject correspondences using intra-agent geometrical context. In detail, this met hod constructscontexts using the relative position of the detected bounding box es, followed by local context matching andglobal consensus maximization. The op timal relative pose transform is estimated based on the matchedcorrespondences, followed by cooperative perception fusion. Extensive experiments are conducted on boththe simulated and real-world datasets.”
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    Investigators at Nanjing University of Information Science and Technology (NUIST) Describe Findings in Robotics (A Fractional Viscoelastic Mechanical Model for Speed Optimization of Robotic Cell Microinjection)

    89-90页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingoriginating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Roboticmicroinje ction has been widely applied in the biomedical field as an effective means of c ell micromanipulation.To improve the survival rate and efficiency of injection, the puncture speed should be designedproperly to minimize cell damage.”Financial support for this research came from Natural Science Foundation of Jian gsu Province.Our news editors obtained a quote from the research from the Nanjing University of Information Scienceand Technology (NUIST), “However, due to the complex visc oelastic mechanical properties of cells and thephysical constraints of microman ipulation systems, speed optimization has become a very challenging task.To thi s end, this article proposes a new fractional model to accurately describe the v iscoelastic mechanicalproperties of cells, and develops a speed optimization me thod based on this model to achieve minimal celldamage. Different from the trad itional integer models, the proposed model is implemented by introducinga fract ional viscoelastic element ‘spring-pot’ to replace the viscous damping in the cl assical standardlinear solid model. By this way, the model can simultaneously c haracterize the power-law relaxation andcreep behaviors of cells in microinject ion with higher accuracy and fewer parameters. In addition, withthe proposed mo del and a class of polynomials, the speed optimization problem is formulated and solvedto minimize the cell deformation subjected to physical constraints. To v erify the effectiveness of theproposed model and optimization algorithm, zebraf ish embryo injections are carried out on the designedrobotic micromanipulation system.”
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    Vrije Universiteit Brussel (VUB) Researchers Have Provided New Data on Machine Learning (Development and Comparison of Ruleand Machine Learning-Based EMS for HESS Providing Grid Services)

    90-90页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Brussels, Belgium , by NewsRx correspondents, research stated, “In this paper, a smartmachine-lea rning-based energy management system (MLBEMS) is developed for a hybrid energy s toragesystem (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics,to provide grid-supporting services.”Funders for this research include European Union’s Horizon 2020 Research And Inn ovation Program.The news journalists obtained a quote from the research from Vrije Universiteit Brussel (VUB): “The aimof the MLBEMS is to improve the overall battery lifetime and achieve state-of-charge (SoC) balancing fortwo different use cases (UC). U C1 involves enhanced frequency regulation for the Pan-European grid, whileUC2 p ertains to an electric vehicle (EV) charging station with photovoltaic (PV) gene ration. The designedMLBEMS is compared with a rule-based energy management syst em (RBEMS) from the literature withsimilar use cases. To ensure optimal power s haring between the battery modules, an optimization modelis created using real battery aging data. Using a genetic algorithm, optimal power sharing is achieved forvarious initial SoC conditions. The generated dataset is subsequently utili zed to train a machine-learningregression model, and the resulting prediction f unction is imported into MATLAB/Simulink.”
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    Peking Union Medical College Hospital Reports Findings in Incidentalomas (Plasma steroid profiling combined with machine learning for the differential diagnosis in mild autonomous cortisol secretion from nonfunctioning adenoma in patients with …)

    91-92页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Incidentalomas is the subject of a report. According to news originatingfrom Beijing, People’s Republ ic of China, by NewsRx correspondents, research stated, “To assess the diagnosti c value of combining plasma steroid profiling with machine learning (ML) in diff erentiatingbetween mild autonomous cortisol secretion (MACS) and nonfunctioning adenoma (NFA) in patients withadrenal incidentalomas. The plasma steroid profi les data in the laboratory information system werescreened from January 2021 to December 2023.”Our news journalists obtained a quote from the research from Peking Union Medica l College Hospital,“EXtreme Gradient Boosting (XGBoost) was applied to establis h diagnostic models using plasma 24-steroid panels and/or clinical characteristi cs of the subjects. The SHapley Additive exPlanation (SHAP)method was used for explaining the model. 76 patients with MACS and 86 patients with NFA were included in the development and internal validation cohort while the external validati on cohort consisted of 27MACS and 21 NFA cases. Among five ML models evaluated, XGBoost demonstrated superior performancewith an AUC of 0.77 using 24 steroid hormones. The SHAP method identified five steroids that exhibitedoptimal perfor mance in distinguishing MACS from NFA, namely dehydroepiandrosterone (DHEA), 11-deoxycortisol, 11b-hydroxytestosterone, testosterone, and dehydroepiandrosterone sulfate (DHEAS). Uponincorporating clinical features into the model, the AUC in creased to 0.88, with a sensitivity of 0.77and specificity of 0.82. Furthermore , the results obtained through SHAP revealed that lower levels oftestosterone, DHEA, LDL-c, BMI, and ACTH along with higher level of 11-deoxycortisol significa ntlycontributed to the identification of MACS in the model. We have elucidated the utilization of ML-basedsteroid profiling to discriminate between MACS and N FA in patients with adrenal incidentalomas.”
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    Study Results from School of Mechanical Engineering Broaden Understanding of Robotics (Bi-Objective Function Optimization for Welding Robot Parameters to Improve Manipulability)

    91-91页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsoriginating from Busan, South Korea, by NewsRx correspondents, research stated, “This paper presentsa study on optimal design to determine the installation position and link lengths of a robot withi n adesignated workspace for welding, aiming to minimize singularities during th e robot’s motion.”The news correspondents obtained a quote from the research from School of Mechan ical Engineering:“Bi-objective functions are formulated to minimize singulariti es while maximizing the volumes of linearvelocity manipulability ellipsoid and angular velocity manipulability ellipsoid, respectively, ensuring isotropy.We h ave constructed a simulation environment incorporating PID control to account fo r robot trackingerrors. This environment was utilized as a simulator to derive a Bi-objective function set within a geneticalgorithm. Through this, we optimiz ed four robot link length variables and two installation positionvariables, sel ecting the optimal design variables on the Pareto Front.”
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    New Data from University of Coruna Illuminate Findings in Machine Learning (Human-in-the-loop Machine Learning: a State of the Art)

    92-93页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news originatingfrom La Coruna, Spain, by NewsRx corres pondents, research stated, “Researchers are defining new typesof interactions b etween humans and machine learning algorithms generically called human-in-the-lo opmachine learning. Depending on who is in control of the learning process, we can identify: active learning,in which the system remains in control; interacti ve machine learning, in which there is a closer interactionbetween users and le arning systems; and machine teaching, where human domain experts have control over the learning process.”Financial supporters for this research include State Research Agency of the Span ish Government, Xuntade Galicia, European Union (EU), Centro de Investigacion d e Galicia “CITIC” - Xunta de Galicia, MarieCurie Actions.
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