首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    New Robotics Findings from Royal Melbourne Institute of Technology -RMIT Univer sity Reported (In-process 4d Reconstruction In Robotic Additive Manufacturing)

    11-12页
    查看更多>>摘要:Researchers detail new data in Robotic s. According to news reporting originating in Melbourne, Australia, by NewsRx jo urnalists, research stated, "Robotic additive manufacturing using a cold spray d eposition head attached to a robotic arm can deposit material in a solid state w ith deposition rates in kilogrammes per hour. Under such a high deposition rate, the complicated interplay between the robot's motion, gun standoff distance, sp ray angle, overlapping, and the interaction of supersonic powder particles with a growing structure could cause overabundance or deficiency of material build-up ." Financial supporters for this research include Commonwealth Scientific & Industrial Research Organisation (CSIRO), RMIT University, Australia, RMIT-CSIRO Masters by Research Scholarship Program, Commonwealth Scientific & Industrial Research Organisation (CSIRO).

    Researchers from VIT-AP University Detail New Studies and Findings in the Area o f Machine Learning (Enhancing Feature Selection in High-Dimensional Data With Fu zzy Fitness-Integrated Memetic Algorithms)

    12-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsInvestigators publish new report on artificial in telligence. According to news reporting originating from Andhra Pradesh, India, by NewsRx correspondents, research stated, "In environments rich in data, machin e learning models often encounter challenges such as data sparsity and overfitti ng, primarily due to datasets with an excessive number of features." The news journalists obtained a quote from the research from VIT-AP University: "To address these issues, this paper introduces a novel feature selection method employing a Memetic Algorithm (MA) enhanced with a fuzzy fitness function. This method is articulated in three variations: the Fuzzy Fitness Memetic Algorithm with Tabu Search (FFMATS), the Fuzzy Fitness Memetic Algorithm with Hill Climbin g (FFMAHC), and a hybrid that combines both techniques, each utilizing specific local search strategies to refine feature selection. When tested across 16 UCI d atasets using four different classifiers, these algorithms not only demonstrated competitive accuracy but frequently outperformed existing methods."

    Studies Conducted at Politecnico di Bari on Machine Learning Recently Published (A Machine Learning Framework for Condition-Based Maintenance of Marine Diesel E ngines: A Case Study)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsFresh data on artificial intelligence are present ed in a new report. According to news originating from Bari, Italy, by NewsRx co rrespondents, research stated, "The development of artificial intelligence-based tools is having a big impact on industry. In this context, the maintenance oper ations of important assets and industrial resources are changing, both from a th eoretical and a practical perspective." Financial supporters for this research include European Union-nextgenerationeu. Our news reporters obtained a quote from the research from Politecnico di Bari: "Namely, conventional maintenance reacts to faults and breakdowns as they occur or schedules the necessary inspections of systems and their parts at fixed times by using statistics on component failures, but this can be improved by a predic tive maintenance based on the real component's health status, which is inspected by appropriate sensors. In this way, maintenance time and costs are saved. Impr ovements can be achieved even in the marine industry, in which complex ship prop ulsion systems are produced for operation in many different scenarios. In more d etail, data-driven models, through machine learning (ML) algorithms, generate th e expected values of monitored variables for comparison with real measurements o n the asset, for a diagnosis based on the difference between expectations and ob servations. The first step towards realization of predictive maintenance is choo sing the ML algorithm. This selection is often not the consequence of an in-dept h analysis of the different algorithms available in the literature. For that rea son, here the authors propose a framework to support an initial implementation s tage of predictive maintenance based on a benchmarking of the most suitable ML a lgorithms. The comparison is tested to predict failures of the oil circuit in a diesel marine engine as a case study."

    Hellenic Mediterranean University Reports Findings in Robotics and Artificial In telligence (Omnidirectional soft pneumatic actuators: a design and optimization framework)

    13-14页
    查看更多>>摘要:New research on Machine Learning -Rob otics and Artificial Intelligence is the subject of a report. According to news reporting out of Heraklion, Greece, by NewsRx editors, research stated, "Soft pn eumatic actuators (SPAs) play a pivotal role in soft robotics due to their uniqu e characteristics of compliance, flexibility, and adaptability. There are plenty of approaches that examine the modeling parameters of SPAs, aiming to optimize their design and, thus, achieve the most advantageous responses." Our news journalists obtained a quote from the research from Hellenic Mediterran ean University, "Current optimization methods applied to SPAs are usually perfor med individually for each design parameter without considering the simultaneous effect all parameters can have on the output performance. This modeling shortcom ing is essential to be addressed since customized SPAs are used in a variety of applications, each with different output requirements. This study provides a gen eralized design optimization framework for modeling the SPA performance for thei r motion profiles, the produced strain energy while being deformed, and their st iffness characteristics. Utilizing experimentally validated finite element metho ds, all geometrical and material parameters of the models are investigated in re sponse surface methodology optimization using the central composite design appro ach. The results showcase the entire design space of omnidirectional SPAs, along with their output performance, providing guidelines to the end user for design optimization."

    Recent Studies from State University of Campinas (UNICAMP) Add New Data to Artif icial Intelligence (Mapping science in artificial intelligence policy developmen t: formulation, trends, and influences)

    14-15页
    查看更多>>摘要:Fresh data on artificial intelligence are presented in a new report. According to news originating from Campinas, Braz il, by NewsRx correspondents, research stated, "This research maps the evolution of artificial intelligence (AI) policy and its scientific underpinnings." Financial supporters for this research include Fundacao De Amparo A Pesquisa Do Estado De Sao Paulo. The news editors obtained a quote from the research from State University of Cam pinas (UNICAMP): "First, we analyzed the global AI policy landscape using the Ov erton policy documents database, which comprises millions of policy documents. F indings reveal a substantial increase in AI policy documents since 2018, with th e USA, European Union (EU), and intergovernmental organizations leading policy development efforts. We also analyzed the scientific articles referenced within t hese policies. The USA stood out as a central hub in the production and funding of AI research, with other Global North countries playing a notable role alongsi de China."

    Study Findings from Saveetha School of Engineering Provide New Insights into Mac hine Learning (Prediction of Machine Learningbased Hardness for the Polycarbona te Using Additive Manufacturing)

    15-16页
    查看更多>>摘要:Investigators publish new report on Ma chine Learning. According to news reporting originating in Chennai, India, by Ne wsRx journalists, research stated, "Additive manufacturing (AM) is a revolutiona ry technology transforming traditional production processes by providing excepti onal mechanical characteristics.Methods The present study aims explicitly to pre dict the hardness of Polycarbonate (PC) parts produced using AM. The objectives of this study are: (1) To investigate the process parameters that impact the abi lity to estimate the hardness of PC materials accurately, and (2) To develop a b est-performing ML model from a range of models that can reliably predict the har dness of additively manufactured PC parts."

    Researchers' Work from South China Normal University Focuses on Machine Learning (Tracking Vigilance Fluctuations In Real-time: a Sliding-window Heart Rate Vari ability-based Machine-learning Approach)

    16-17页
    查看更多>>摘要:Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Guangzhou, Pe ople's Republic of China, by NewsRx journalists, research stated, "Heart rate va riability (HRV)-based machine learning models hold promise for real-world vigila nce evaluation, yet their real-time applicability is limited by lengthy feature extraction times and reliance on subjective benchmarks. This study aimed to impr ove the objectivity and efficiency of HRV-based vigilance evaluation by associat ing HRV and behavior metrics through a sliding window approach.Methods Forty-fou r healthy adults underwent psychomotor vigilance tasks under both well-rested an d sleep-deprived conditions, with simultaneous electrocardiogram recording." Funders for this research include Guangdong Basic and Applied Basic Research Fou ndation, China, Striving for the First-Class, Improving Weak Links and Highlight ing Features (SIH) Key Discipline for Psychology in South China Normal University.

    Shenyang Jianzhu University Reports Findings in Biohybrids (Recent advances in n eurotechnology-based biohybrid robots)

    17-18页
    查看更多>>摘要:New research on Biotechnology -Biohyb rids is the subject of a report. According to news originating from Shenyang, Pe ople's Republic of China, by NewsRx correspondents, research stated, "Biohybrid robots retain the innate biological characteristics and behavioral traits of ani mals, making them valuable in applications such as disaster relief, exploration of unknown terrains, and medical care. This review aims to comprehensively discu ss the evolution of biohybrid robots, their key technologies and applications, a nd the challenges they face." Our news journalists obtained a quote from the research from Shenyang Jianzhu Un iversity, "By analyzing studies conducted on terrestrial, aquatic, and aerial bi ohybrid robots, we gain a deeper understanding of how these technologies have ma de significant progress in simulating natural organisms, improving mechanical pe rformance, and intelligent control. Additionally, we address challenges associat ed with the application of electrical stimulation technology, the precision of n eural signal monitoring, and the ethical considerations for biohybrid robots. We highlight the importance of future research focusing on developing more sophist icated and biocompatible control methods while prioritizing animal welfare. We b elieve that exploring multimodal monitoring and stimulation technologies holds t he potential to enhance the performance of biohybrid robots."

    Researchers at Department of Neuropsychiatry Release New Data on Androids (Train ing potential of a teleoperated humanoid robot for use by a young psychiatrist d uring childcare leave)

    18-19页
    查看更多>>摘要:Data detailed on androids have been pr esented. According to news reporting originating from the Department of Neuropsy chiatry by NewsRx correspondents, research stated, "Childcare leave extensions c an sometimes negatively affect the professional clinical training of early-caree r psychiatrists in Japan. During childcare leave, being able to learn in the exa mination room while staying at home would be useful." The news reporters obtained a quote from the research from Department of Neurops ychiatry: "Therefore, we developed a training system using a teleoperated robot (Sota) for young psychiatrists who wanted to participate in the examination room during childcare leave while remaining at home. We report the case of a patient with autism spectrum disorder (ASD) comorbid with Tourette's disorders (P). A y oung female psychiatrist (D) used the training system to learn from a board-cert ified psychiatrist. In this case, the board-certified psychiatrist, P, and the r obot were placed in the examination room. D teleoperated Sota from home, allowin g her to talk to the board-certified psychiatrist and P. She learned about the c linical features of Tourette's syndrome by observing the examination of the boar d-certified psychiatrist and hearing the patient's distress. P was satisfied wit h the fact that he was seen not only by a board-certified psychiatrist but also by D."

    New Findings in Robotics Described from PSL Research University (Contact Models In Robotics: a Comparative Analysis)

    19-20页
    查看更多>>摘要:Fresh data on Robotics are presented i n a new report. According to news reporting originating from Paris, France, by N ewsRx correspondents, research stated, "Physics simulation is ubiquitous in robo tics. Whether in model-based approaches (e.g., trajectory optimization), or mode l-free algorithms (e.g., reinforcement learning), physics simulators are a centr al component of modern control pipelines in robotics." Financial supporters for this research include Agence Nationale Des Plantes Medi cinales Et Aromatiques, ANPMA, Morocco, European Union through the AGIMUS projec t, Louis Vuitton ENS Chair on Artificial Intelligence.