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    Study Data from Harbin Institute of Technology Update Un- derstanding of Machine Learning (Review On Multiple-degree-of- freedom Cross-scale Piezoelectric Actuation Technology)

    85-86页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting origi- nating from Heilongjiang, People’s Republic of China, by NewsRx correspondents, research stated, “Piezo- electric actuation technology has been widely used in various precise-oriented fields. Its notable advantages include high resolution, rapid response speed, output force with high density, and immunity to electromag- netic interference.” Financial support for this research came from National Natural Science Foundation of China.

    Studies from Johannes Gutenberg University of Mainz in the Area of Machine Learning Reported (Machine-learning-based Detection of Spin Structures)

    86-87页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Mainz, Germany, by NewsRx editors, research stated, “One of the most important magnetic spin structures is the topologically stabilized skyrmion quasiparticle. Its interesting physical properties make it a candidate for memory and efficient neuromorphic computation schemes.” Funders for this research include Deutscher Akademischer Austausch Dienst (DAAD), Mitacs, German Research Foundation (DFG), EmergentAI center - Carl Zeiss Stiftung, German Research Foundation (DFG), European Commission Joint Research Centre.

    Researchers from Moscow Institute of Physics and Technology Re- port Details of New Studies and Findings in the Area of Machine Learning (Identifying Cetacean Mammals In High-resolution Optical Imagery Using Anomaly Detection Approach Employing ...)

    87-88页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Moscow Oblast, Russia, by NewsRx correspondents, research stated, “Cetacean mammal populations, particularly dolphins, have recently experienced significant declines due to various artificial and natural factors. A crucial aspect of studying these populations is determining their numbers and assessing spatial distributions.” Financial support for this research came from Moscow Institute of Physics and Technology Development Program (Priority-2030).

    Studies in the Area of Robotics Reported from Nanjing University of Information Science and Technology (NUIST) (Multi-objective Time-energy-impact Optimization for Robotic Excavator Trajectory Planning)

    88-89页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news reporting out of Nan- jing, People’s Republic of China, by NewsRx editors, research stated, “Single-objective optimal trajectory cannot adapt to the complex requirements of excavator construction. A comprehensive optimal trajectory planning method is proposed to optimize the working time, energy consumption, and operational impact of robotic excavators.” Funders for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Jiangsu Province, Research Start-up Fund of NUIST, Postgraduate Research & Practice Innovation Program of Jiangsu Province, National Key Research and Development Program of China.

    New Machine Learning Data Have Been Reported by Researchers at Idaho National Laboratory (Machine Learning Potential Assisted Exploration of Complex Defect Potential Energy Surfaces)

    89-90页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are presented in a new report. According to news originating from Idaho Falls, Idaho, by NewsRx correspondents, research stated, “Atomic-scale defects generated in materials under both equilibrium and irradiation conditions can significantly impact their physical and mechanical properties. Unraveling the energetically most favorable ground-state configurations of these defects is an important step towards the fundamental understanding of their influence on the performance of materials ranging from photovoltaics to advanced nuclear fuels.” Funders for this research include DOE | SC | Basic Energy Sciences, DOE | LDRD | Idaho National Laboratory.

    Reports Outline Robotics Study Results from Jilin University (Traf- ficability Anticipation for Quadruped Robot In Field Operation)

    90-90页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been presented. According to news originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “The capability to predict catastrophic failures and anticipate challenges relating to trafficability enables quadruped robots to adjust their planned trajectory in time to prevent any damages. In this paper, an estimation-based method is proposed to describe the validity of the trajectory from the viewpoint of the traction performance of the terrain.” Financial support for this research came from Key Laboratory Project of the Ministry of Culture and Tourism, and the Opening Project of Aerospace System Engineering Shanghai.

    Findings from Northwest A&F University Provides New Data on Machine Learning [Monitoring of Soil Moisture Content of Win- ter Oilseed Rape (brassica Napus L.) Based On Hyperspectral and Machine Learning Models]

    91-91页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating from Xianyang, People’s Republic of China, by NewsRx correspondents, research stated, “Timely acquisition of soil moisture content (SMC) in the root zone of field crops is crucial for achieving precise irrigation. In this study, high-spectral technology was employed to collect both SMC data at different soil depths during the bolting stage of winter oilseed rape (Brassica napus L.) and corresponding hyperspectral data through two consecutive years of field experiments (2021-2022).” Financial support for this research came from National Natural Science Foundation of China (NSFC).

    Research from Iuliu Hatieganu University of Medicine and Pharmacy Reveals New Findings on Artificial Intelligence (The Power of Reli- gious Faith as a Predictor of Autonomy, Community, and Divinity Ethical Values)

    92-92页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artificial intelligence. According to news originating from Iuliu Hatieganu University of Medicine and Pharmacy by NewsRx editors, the research stated, “This article investigates the influence of religious faith on ethical values (autonomy, community, and divinity), and specifically considers the predictive role in shaping individuals’ orientations toward autonomy, community, and divinity.” The news reporters obtained a quote from the research from Iuliu Hatieganu University of Medicine and Pharmacy: “Study examines the ways in which adherence to religious beliefs molds ethical perspectives. The research employs a multidimensional framework to assess the correlation between religious faith and values associated with personal autonomy, communal responsibility, and the sacred. Understanding the power of religious faith as a predictor of ethical values has implications for fostering a deeper comprehension of diverse moral frameworks and facilitating interfaith dialogue.”

    Fudan University Researcher Describes Recent Advances in Robotics (Force Tracking Control Method for Robotic Ultrasound Scanning System under Soft Uncertain Environment)

    92-93页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have been published. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Robotic ultrasound scanning has excellent potential to reduce physician workload, obtain higher-quality imaging, and reduce costs.” Financial supporters for this research include National Key Research And Development Program of China. The news journalists obtained a quote from the research from Fudan University: “However, the tradi- tional admittance control strategy for robotics cannot meet the high-precision force control requirements for robots, which are critical for improving image quality and ensuring patient safety. In this study, an integral adaptive admittance control strategy is proposed for contact force control between an ultrasound probe and human skin to enhance the accuracy of force tracking. First, a robotic ultrasound scanning system is proposed, and the system’s overall workflow is introduced. Second, an adaptive admittance control strategy is designed to estimate the uncertain environmental information online, and the estimated parameters are used to modify the reference trajectory. On the basis of ensuring the stability of the system, an integral controller is then introduced to improve the steady-state response. Subsequently, the stability of the proposed strategy is analysed.”

    Findings from Chinese Academy of Sciences Broaden Understanding of Robotics (Simultaneously Calibration of Multi Hand-eye Robot System Based On Graph)

    93-94页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are discussed in a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Precise calibration is the basis for the vision-guided robot system to achieve high-precision operations. Systems with multieyes (cameras) and multihands (robots) are particularly sensitive to calibration errors.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), National Defense Basic Research Program Key Projects, CIE-Tencent Robotics X Rhino-Bird Focused Research Program, Beijing Natural Science Foundation.