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    Findings in Robotics Reported from China University of Mining and Technology (Ne uroadaptive Control of Robotic Systems With Intermittent State Feedback and Trig gering Adaptation)

    66-67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 originating from Xuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This paper focuses on the tra cking control of nonlinear uncertain robotic systems under a double event-trigge ring mechanism, where intermittent state feedback and triggering adaptation are simultaneously considered in the design of the control scheme, thereby significa ntly saving communication resources from sensors and parameter estimators to the controller and reducing computational burden. Since the triggered states are di scontinuous, the standard backstepping design is no longer applicable because th e partial derivatives of the virtual controllers do not exist.”

    Data on Robotics Reported by Researchers at Beijing Institute of Technology (Lid ar-based Place Recognition for Mobile Robots In Ground/water Surface Multiple Sc enes)

    67-68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, “LiDAR-based 3D place recogn ition is an essential component of simultaneous localization and mapping systems in multiscene robotic applications. However, extracting discriminative and gen eralizable global descriptors of point clouds is still an open issue due to the insufficient use of the information contained in the LiDAR scans in existing app roaches.”

    New Findings Reported from Harbin Engineering University Describe Advances in Ma chine Learning (Bubble Collapse Patterns Recognition and Flow Field Prediction B ased On Machine Learning)

    68-69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 Machine Learning is now available. According to news reporting from Sanya, People’s Republic of China, by NewsRx journalists, research stated, “A machine learning method is proposed t o predict the collapse patterns and flow field state of underwater explosion bub bles subjected to the vertical sidewall and free surface, which can overcome the limitations of high costs of traditional experimental tests and long computatio n times of numerical simulations. The dataset was obtained by the boundary eleme nt method, including the cases of the bubble with different buoyancy parameters at different distances from the free surface and vertical sidewall.”

    Findings from Rutgers University - The State University of New Jersey Provide Ne w Insights into Nanofluids (Machine Learningbased Predictions of Nanofluid Ther mal Properties)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Nanotechnology - Nanofluids is now available. According to news reporting out of Piscataway, New Jersey, by NewsRx editors, research stated, “In this study, machine learning-based predictions of thermal conductivity, dynamic viscosity, and specific heat of nanofluids are ex plored. Various types of nanofluids and parametric conditions are considered to broaden and evaluate the effectiveness of popular machine learning models, inclu ding multilayer perceptron, random forest, light gradient boosting machine, extr eme gradient boosting, and stacking algorithms.”

    Cedars-Sinai Medical Center Reports Findings in Robotics (Navigation and Robotic Single-Position Prone LLIF: First Cases in Brazil)

    70-71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 Robotics is the subjec t of a report. According to news originating from Los Angeles, California, by Ne wsRx correspondents, research stated, “has been rapid technological advancement in navigation-guided minimally invasive surgery over the past two decades, makin g these advancements an invaluable aid for surgeons by essentially providing rea l-time virtual reconstruction of patient anatomy. The objectives of these naviga tion- and robot-guided procedures are to reduce the likelihood of neural and vas cular injury, minimize hospitalization time, decrease bleeding and postoperative pain, shorten healing time, and lower infection rates.”

    Studies from Institute of Automation in the Area of Machine Learning Published ( An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids)

    70-70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 originating from the Institute of Autom ation by NewsRx correspondents, research stated, “Recently, renewable energy sou rces integrated with microgrid (MG) networks have provided safe, secure, and rel iable power supply to both utility and industrial purposes.” Financial supporters for this research include National Natural Science Foundati on of China.

    Shandong Technology and Business University Reports Findings in Robotics (An imp roved RRT behavioral planning method for robots based on PTM algorithm)

    71-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news reporting out of Shandong, People’s Republic of China, by NewsRx editors, research stated, “For multi-dimensional high-order nonlinear sys tems with unstable path quality in parameter and extension terms, we developed a new fast search random tree strategy. First, we established a high-order Lipsch itz vector field dynamic system to adapt to high-order systems of multi-degree-o f-freedom robots, with the complex obstacle function being one of its key compon ents.”

    Hebei University of Technology Reports Findings in Robotics (Research on shared control of robots based on hybrid brain-computer interface)

    72-73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 Robotics is the subjec t of a report. According to news reporting out of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “With the arrival of the new generati on of artificial intelligence wave, new human-robot interaction technologies con tinue to emerge. Brain-computer interface (BCI) offers a pathway for state monit oring and interaction control between human and robot.”

    New Artificial Intelligence Findings from University of Arizona Described (Text Report Analysis To Identify Opportunities for Optimizing Target Selection for Ch est Radiograph Artificial Intelligence Models)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intell igence are discussed in a new report. According to news originating from Tucson, Arizona, by NewsRx correspondents, research stated, “Our goal was to analyze ra diology report text for chest radiographs (CXRs) to identify imaging findings th at have the most impact on report length and complexity. Identifying these imagi ng findings can highlight opportunities for designing CXR AI systems which incre ase radiologist efficiency.”

    Studies from Universidad Politecnica de Madrid Describe New Findings in Robotics (Mechanical Design of a New Hybrid 3R-DoF Bioinspired Robotic Fin Based on Kine matics Modeling and Analysis)

    74-75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 from Madrid, Spain, by NewsRx journalists, r esearch stated, “The field of bioinspired underwater robots aims to replicate th e capabilities of marine animals in artificial systems.” Financial supporters for this research include Chair University-industry Monodon , By Navantia Underwater Robots And Deeptech Technology.