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    Research from Donghua University Yields New Data on Robotics (Calibration Optimi zation of Kinematics and Dynamics for Delta Robot Driven by Integrated Joints in Machining Task)

    110-111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 reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “For the application of Delta ro bots with a 3-R(RPaR) configuration in machining tasks, this paper constructed a 54-parameter kinematic error model and a simplified dynamic model incorporating an integrated joint’s position error and friction, respectively.” Funders for this research include National Natural Science Foundation of China; Shanghai Science And Technology Innovation Action Plan; Shanghai Science And Tec hnology Planning Project.

    University of Hawaii Reports Findings in Machine Learning (A Comparison of Perso nalized and Generalized Approaches to Emotion Recognition Using Consumer Wearabl e Devices: Machine Learning Study)

    111-112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 Machine Learning is th e subject of a report. According to news reporting from Honolulu, Hawaii, by New sRx journalists, research stated, “There are a wide range of potential adverse h ealth effects, ranging from headaches to cardiovascular disease, associated with long-term negative emotions and chronic stress. Because many indicators of stre ss are imperceptible to observers, the early detection of stress remains a press ing medical need, as it can enable early intervention.”

    New Machine Learning Study Findings Reported from Xidian University (Triboelectr ic Sensor-empowered Intelligent Mouse Combined With Machine Learning Technology Strides Toward a Computer Security System)

    112-113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 Machine Learning. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The computer mouse is one of the most common tools used for human-machine interfacing. The human behavior studying by click operation using an intelligent mouse and related security ide ntification of computers remains a great challenge.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Basic and Applied Basic Research Foundation of Guangdong Pro vince, China Postdoctoral Science Foundation, Natural Science Basic Research Pro gram of Shaanxi Province, Qin Chuangyuan Cites High -Level Innovation and Entrep reneurship Talent Projects of Shaanxi Province.

    Study Results from National Polytechnic Institute in the Area of Robotics Report ed (Observer-based Model-free Controller for the Perturbations Estimation and At tenuation In Robotic Plants)

    113-113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 Ciudad de Mexico, Mexico, by N ewsRx correspondents, research stated, “The model -free controller is a powerful method because it does not require the knowledge of the robotic plant dynamic e quation. Since most of the model -free controllers consider variants of the adap tive or reinforcement learning, one observer -based model -free controller could be a different alternative of interest in the researching community.”

    New Findings from Tongji University in the Area of Robotics and Automation Descr ibed (Learning Cross Dimension Scene Representation for Interactive Navigation A gents In Obstacle-cluttered Environments)

    114-114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 - Robotics and Automation are presented in a new report. According to news originating from Sha nghai, People’s Republic of China, by NewsRx correspondents, research stated, “E mbodied visual navigation has witnessed significant advancements. However, most studies commonly assume that environments are static and contain at least one co llision-free path.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Researchers from Sao Paulo State University (UNESP) Report on Findings in Machin e Learning (Predicting the Onset of Quantum Synchronization Using Machine Learni ng)

    115-115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 Machine Learn ing have been published. According to news originating from Bauru, Brazil, by Ne wsRx correspondents, research stated, “We have applied a machine learning algori thm to predict the emergence of environment -induced spontaneous synchronization between two qubits in an open system setting. In particular, we have considered three different models, encompassing global and local dissipation regimes, to d escribe the open system dynamics of the qubits.” Funders for this research include Coordenaco de Aperfeicoamento de Pessoal de Ni vel Superior Project, Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK), Fundaco de Amparo a Pesquisa do Estado de So Paulo, Office of Naval Research, G rant Agency of the Czech Republic.

    Findings from University College Dublin in the Area of Support Vector Machines R eported (An Unsupervised Anomaly Detection Framework for Onboard Monitoring of R ailway Track Geometrical Defects Using One-class Support Vector Machine)

    116-117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 Su pport Vector Machines. According to news reporting out of Dublin, Ireland, by Ne wsRx editors, research stated, “Track geometry is one of the critical indicators of railway tracks’ condition which requires continuous monitoring and maintenan ce over time. In this paper, a novel artificial intelligence (AI) based framewor k is proposed for railway track geometry inspection using vibration data collect ed from a dedicated measuring high-speed train.” Financial support for this research came from Science Foundation Ireland.

    Capital Medical University Reports Findings in Lung Cancer (Identification of ca chexia in lung cancer patients with an ensemble learning approach)

    117-118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 Oncology - Lung Cancer is the subject of a report. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Nutritiona l intervention prior to the occurrence of cachexia will significantly improve th e survival rate of lung cancer patients. This study aimed to establish an ensemb le learning model based on anthropometry and blood indicators without informatio n on body weight loss to identify the risk factors of cachexia for early adminis tration of nutritional support and for preventing the occurrence of cachexia in lung cancer patients.”

    Study Findings from University of California Update Knowledge in Robotics (Condu ctive block copolymer elastomers and psychophysical thresholding for accurate ha ptic effects)

    118-119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 La Jolla, California, by News Rx editors, the research stated, “Electrotactile stimulus is a form of sensory s ubstitution in which an electrical signal is perceived as a mechanical sensation .” The news editors obtained a quote from the research from University of Californi a: “The electrotactile effect could, in principle, recapitulate a range of tacti le experience by selective activation of nerve endings. However, the method has been plagued by inconsistency, galvanic reactions, pain and desensitization, and unwanted stimulation of nontactile nerves. Here, we describe how a soft conduct ive block copolymer, a stretchable layout, and concentric electrodes, along with psychophysical thresholding, can circumvent these shortcomings.”

    Hohai University Researcher Broadens Understanding of Artificial Intelligence (C hallenges and Cracks: Ethical Issues in the Development of Artificial Intelligen ce)

    119-119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 reporting originating fr om Nanjing, People’s Republic of China, by NewsRx correspondents, research state d, “In June 2023, the Nishan Dialogue on Digital Civilisation of the World Inter net Conference was held in China.” The news journalists obtained a quote from the research from Hohai University: “ At this conference, China proposed for the first time, in the era of artificial intelligence (AI), to build a digital world of exchange, mutual appreciation and tolerance, hoping to gather the wisdom of the internet community and seek the g overnance of digital civilisation. In recent years, with the rapid development a nd wide recognition of AI technology, how to solve the AI ethical issues general ly faced by the international community has become the focus of attention.”