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    Research on Machine Learning Described by Researchers at Leibniz Institute for S olid State and Materials Research (Designing materials by laser powder bed fusio n with machine learning-driven bi-objective optimization)

    27-28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 from Dresden, Ger many, by NewsRx correspondents, research stated, “To exploit the full industrial potential of additive manufacturing (AM) beyond prototyping, the resource-consu ming identification of the optimal processing conditions needs to be minimized.” Funders for this research include German Research Foundation; German Electron-sy nchrotron; Leibnitz Association; Alexander Von Humboldt Foundation.
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    University of Oviedo Reports Findings in Artificial Intelligence (AIEnhanced ev aluation of YouTube content on post-surgical incontinence following pelvic cance r treatment)

    28-29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 out of Oviedo, Spain, by NewsRx editors, research stated, “Several pelvic area cancers exhibit high in cidence rates, and their surgical treatment can result in adverse effects such a s urinary and fecal incontinence, significantly impacting patients’ quality of l ife. Post-surgery incontinence is a significant concern, with prevalence rates r anging from 25 to 45% for urinary incontinence and 9-68% for fecal incontinence.” Our news journalists obtained a quote from the research from the University of O viedo, “Cancer survivors are increasingly turning to YouTube as a platform to co nnect with others, yet caution is warranted as misinformation is prevalent. This study aims to evaluate the information quality in YouTube videos about post-sur gical incontinence after pelvic area cancer surgery. A YouTube search for “ yiel ded 108 videos, which were subsequently analyzed. To evaluate these videos, seve ral quality assessment tools were utilized, including DISCERN, GQS, JAMA, PEMAT, and MQ-VET. Statistical analyses, such as descriptive statistics and intercorre lation tests, were employed to assess various video attributes, including charac teristics, popularity, educational value, quality, and reliability. Also, artifi cial intelligence techniques like PCA, t-SNE, and UMAP were used for data analys is. HeatMap and Hierarchical Clustering Dendrogram techniques validated the Mach ine Learning results. The quality scales presented a high level of correlation o ne with each other (<0.01) and the Artificial Intelligence -based techniques presented clear clustering representations of the dataset samp les, which were reinforced by the Heat Map and Hierarchical Clustering Dendrogra m. YouTube videos on “ present a “ quality across multiple scales.”
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    University of Southern Florida Details Findings in Robotics (Multiobject Graspi ng-experience Forest for Robotic Finger Movement Strategies)

    29-30页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Tampa, Florida, by NewsRx journalists, r esearch stated, “This letter introduces a novel Experience Forest algorithm desi gned for multi-object grasping (MOG). Different from single-object grasping, for MOG, the hand poses of a few steps before the end of grasping play important ro les in the success of MOG.” The news reporters obtained a quote from the research from the University of Sou thern Florida, “But similar to single-object grasping, the hand poses that are f ar from the end grasping pose are not as relevant. Therefore, the proposed appro ach invented the Experience Forest structure to organize the finger movement seq uences collected in naive MOG approaches with a set of trees instead of a single tree. The algorithm propagates success or failure results in the trials from en d-pose nodes only to the nodes representing several preceding hand poses. When u sing the trees to generate a grasping sequence, the algorithm generates a finger -movement policy that follows a MOG synergy at the beginning and then transits t o a tree in the Experience Forest and then employs a breadth-first search to ach ieve a more reliable solution.”
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    New Robotics Findings Has Been Reported by Investigators at Shanghai University of Engineering Science [Dynamic Path Planning for Mobile Robo ts Based On Artificial Potential Field Enhanced Improved Multiobjective Snake Op timization (Apf-imoso)]

    30-31页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “With the widespre ad adoption of mobile robots, effective path planning has become increasingly cr itical. Although traditional search methods have been extensively utilized, meta -heuristic algorithms have gained popularity owing to their efficiency and probl em-specific heuristics.” Our news editors obtained a quote from the research from the Shanghai University of Engineering Science, “However, challenges remain in terms of premature conve rgence and lack of solution diversity. To address these issues, this paper propo ses a novel artificial potential field enhanced improved multiobjective snake op timization algorithm (APF-IMOSO). This paper presents four key enhancements to t he snake optimizer to significantly improve its performance. Additionally, it in troduces four fitness functions focused on optimizing path length, safety (evalu ated via artificial potential field method), energy consumption, and time effici ency. The results of simulation and experiment in four scenarios including stati c and dynamic highlight APF-IMOSO’s advantages, delivering improvements of 8.02% , 7.61%, 50.71%, and 12.74% in path leng th, safety, energy efficiency, and time-savings, respectively, over the original snake optimization algorithm. Compared with other advanced meta-heuristics, APF -IMOSO also excels in these indexes. Real robot experiments show an average path length error of 1.19% across four scenarios.”
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    Fondazione Policlinico Universitario A. Gemelli IRCCS Reports Findings in Artifi cial Intelligence (Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project)

    31-32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 originating from Rome, Italy, by NewsRx correspondents, research stated, “Formulating reliable prognosis for isc hemic stroke patients remains a challenging task. We aimed to develop an artific ial intelligence model able to formulate in the first 24 h after stroke an indiv idualized prognosis in terms of NIHSS.” Our news journalists obtained a quote from the research from Fondazione Policlin ico Universitario A. Gemelli IRCCS, “Seven hundred ninety four acute ischemic st roke patients were divided into a training (597) and testing (197) cohort. Clini cal and instrumental data were collected in the first 24 h. We evaluated the per formance of four machine-learning models (Random Forest, -Nearest Neighbors, Sup port Vector Machine, XGBoost) in predicting NIHSS at discharge both in terms of variation between discharge and admission (regressor approach) and in terms of s everity class namely NIHSS 0-5, 6-10, 11-20, >20 (classi fier approach). We used Shapley Additive exPlanations values to weight features impact on predictions. XGBoost emerged as the best performing model. The classif ier and regressor approaches perform similarly in terms of accuracy (80% vs 75%) and f1-score (79% vs 77%) respec tively. However, the regressor has higher precision (85% vs 68% ) in predicting prognosis of very severe stroke patients (NIHSS > 20). NIHSS at admission and 24 hours, GCS at 24 hours, heart rate, acute ischem ic lesion on CT-scan and TICI score were the most impacting features on the pred iction. Our approach, which employs an artificial intelligence based-tool, inher ently able to continuously learn and improve its performance, could improve care pathway and support stroke physicians in the communication with patients and ca regivers.”
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    Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)

    32-33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 Ma chine Learning. According to news reporting from Qingdao, People’s Republic of C hina, by NewsRx journalists, research stated, “The accurate measurement of dynam ic water cut is of great interest for analyzing reservoir performance and optimi zing oilwell production. Downhole water- cut measurement is a very challenging w ork.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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    Reports Summarize Robotics Findings from University of the Chinese Academy of Sc iences (Robust Depth and Heading Control System for a Novel Robotic Dolphin With Multiple Control Surfaces)

    33-34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 Robotics have been published. According to news originating from Beijing, People’s Republic o f China, by NewsRx correspondents, research stated, “For field tasks, it is quit e challenged to operate in a complex environment for the underwater robots, espe cially for those with multiple control surfaces due to different response and ga in characteristics. To this end, this paper develops a highly integrated robotic dolphin followed by a robust motion control system.” Our news journalists obtained a quote from the research from the University of t he Chinese Academy of Sciences, “For better maneuverability and fault-tolerant c apabilities, a newly-designed robotic dolphin is presented, owning a wide array of sensors and multiple control surfaces, in which passive flukes are particular ly applied. On this basis, a robust motion control system is proposed, including a depth controller based on velocity-related allocation strategies and a headin g controller based on clearance compensation. In detail, considering the degrada tion of motion performance caused by passive flukes, a sliding mode controller f or gain uncertainty and an allocation-related parameter tuning strategy for inpu ts response characteristics are designed. Extensive simulations and aquatic expe riments are conducted, and the obtained results demonstrate the satisfied maneuv erability of the designed prototype and the effectiveness of the proposed method s. This study can lay a foundation for further development of robotic dolphins w ith a robust motion system to execute complex tasks in the field. Note to Practi tioners-This paper is inspired by the issue of robust motion control system for a newly-designed practical robotic dolphin that possesses a passive tail and red undant control surfaces. The traditional methods are usually susceptible to unce rtainties in the passive tail gain, exhibiting degraded control performance. Mor eover, control oscillations and slow convergence speed often occur caused by neg lecting the characteristics of different control surfaces, including response pa tterns and clearance. This paper suggests a robust depth controller based on vel ocity-related allocation strategies and a robust heading controller based on cle arance compensation. Specifically, an allocationrelated parameter tuning strate gy is given by considering inputs response characteristics, including response s peed, saturations, and hydrodynamic force variation patterns. To guarantee fine regulations of heading control, a nonlinear disturbance observer (NDOB)-based cl earance compensation is proposed. Extensive aquatic experiments on the newly-des igned robotic dolphin verified the effectiveness of the proposed methods.”
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    University of Texas Arlington Researcher Illuminates Research in Robotics (Model ing of Cooperative Robotic Systems and Predictive Control Applied to Biped Robot s and UAV-UGV Docking with Task Prioritization)

    34-35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 out of Arlington, Texas, by NewsRx editors, research stated, “This paper studies a cooperative modeling framework to reduce the complexity in deriving the governing dynamical equations of complex systems composed of multiple bodies such as biped robots and unmanned aerial and ground vehicles.” Funders for this research include Office of Naval Research. Our news journalists obtained a quote from the research from University of Texas Arlington: “The approach also allows for an optimization-based trajectory gener ation for the complex system. This work also studies a fast-slow model predictiv e control strategy with task prioritization to perform docking maneuvers on coop erative systems. The method allows agents and a single agent to perform a dockin g maneuver. In addition, agents give different priorities to a specific subset o f shared states. In this way, overall degrees of freedom to achieve the docking task are distributed among various subsets of the task space. The fast-slow mode l predictive control strategy uses non-linear and linear model predictive contro l formulations such that docking is handled as a non-linear problem until agents are close enough, where direct transcription is calculated using the Euler disc retization method.”
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    New Computational Intelligence Study Findings Recently Were Reported by Research ers at Pontifical Catholic University Parana (Enhancing Anomaly Detection In Ele ctrical Consumption Profiles Through Computational Intelligence)

    35-36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 Co mputational Intelligence. According to news originating from Curitiba, Brazil, b y NewsRx correspondents, research stated, “The advancement of society and the ra ising of people’s standards of living depend heavily on electricity in today’s w orld. The ‘zero energy buildings’ idea, which recommends that buildings become s elf-sufficient in renewable energy to prevent the emission of CO2 into the envir onment, is now one of the most significant initiatives connected to building ene rgy efficiency.” Financial supporters for this research include Fundacao de Apoio a Pesquisa do D istrito Federal (FAPDF), Conselho Nacional de Desenvolvimento Cientifico e Tecno logico (CNPQ), Fundacao Araucaria de Apoio ao Desenvolvimento Cientifico e Tecno logico do Estado do Parana FA.
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    New Findings from Purdue University in the Area of Robotics Described (Unveiling the Role of Congruity In Service Robot Design and Deployment)

    36-37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 Robotic s. According to news originating from West Lafayette, Indiana, by NewsRx corresp ondents, research stated, “PurposeThis paper aims to examine the congruency effe cts of physically embodied robots in service encounters, this study conducte d a pretest and two experimental studies revealing the need to view robot design holistically and recognizing the pivotal role of congruity in shaping consumers ’ service robot adoption. The moderating role of service purposes (utilitarian v s hedonic) was also investigated in terms of robot design and consumer reactions .FindingsConsumers generally tend to favor robots with congruent designs, partic ularly for utilitarian service purposes.”
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