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    Research Conducted at University of Science and Technology China Has Provided Ne w Information about Robotics (Hierarchical Trajectory Deformation Algorithm With Hybrid Controller for Active Lower Limb Rehabilitation)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Robotics have been presented. Ac cording to news reporting out of Hefei, People’s Republic of China, by NewsRx ed itors, research stated, “Robot-aided active rehabilitation has shown to be an ef fective treatment approach for hemiplegic patients. This letter presents an acti ve control framework for lower limb rehabilitation, combining an interaction lay er with a hierarchical trajectory deformation algorithm (HTDA), and an assist-as -needed (AAN) layer with a hybrid controller.”

    New Findings on Robotics and Automation Described by Investigators at Chinese Un iversity of Hong Kong (A Sim-to-real Instance Segmentation Framework for Densely Stacked Cartons)

    42-42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 Robotics - Robotics and Automation is now available. According to news reporting originating in Shenzhe n, People’s Republic of China, by NewsRx journalists, research stated, “Robotic picking systems in automated logistics require accurate segmentation and localiz ation of densely stacked cartons. However, the lack of comprehensive and diverse datasets for this task poses a significant challenge.” Financial support for this research came from Guangdong Basic and Applied Basic Research Foundation.

    Tianjin University Reports Findings in Artificial Intelligence (An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Predic tion in the COVID-19 Pandemic: Artificial Intelligence Approach)

    43-44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 originating in Tianjin , People’s Republic of China, by NewsRx journalists, research stated, “Amidst th e COVID-19 pandemic, misinformation on social media has posed significant threat s to public health. Detecting and predicting the spread of misinformation are cr ucial for mitigating its adverse effects.”

    Investigators at University of Turin Discuss Findings in Artificial Intelligence (Artificial Intelligence-driven Decision Making and Firm Performance: a Quantit ative Approach)

    44-45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 Artificial In telligence have been published. According to news reporting originating from Tur in, Italy, by NewsRx correspondents, research stated, “PurposeThe purpose of thi s study is to investigate the relationship between artificial intelligence (AI) and decision making in the development of AI-related capabilities. We investigat e if and how AI-driven decision making has an impact on firm performance.”

    Studies from University of Rennes Add New Findings in the Area of Artificial Int elligence (Digital Workflow for Printability Checking and Prefabrication In Robo tic Construction 3d Printing Based On Artificial Intelligence Planning)

    45-46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 Artific ial Intelligence. According to news reporting originating in Rennes, France, by NewsRx journalists, research stated, “This paper introduces an innovative digita l workflow for printability checking and prefabrication in robotic construction 3D printing based on Artificial Intelligence (AI) planning techniques. The propo sed method generates operational sequences for a robotic manipulator tasked with concrete 3D printing by utilizing Planning Domain Definition Language (PDDL) 2. 1 -based AI planners.”

    Research Data from Shanghai Jiao Tong University Update Understanding of Machine Learning (Residual Stress-driven Non-euclidean Morphing In Origami Structures)

    46-47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 originating from Shanghai, People’s Repu blic of China, by NewsRx correspondents, research stated, “Morphing origami has numerous potential engineering applications owing to its intrinsic morphing feat ures from 2D planes to 3D surfaces. However, the current 1D hinge deformation-dr iven transformation of foldable origami with rigid or slightly deformable panels cannot achieve a 3D complex and large curvilinear morphing.”

    New Findings Reported from Laboratory of Evolutionary Genetics Describe Advances in Artificial Intelligence (Individual Identification of Medaka, a Small Freshw ater Fish, from the Dorsal Side Using Artificial Intelligence)

    47-47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 out of Tokyo, Japan, by NewsR x editors, research stated, “Individual identification is an important ability f or humans and perhaps also for non-human animals to lead social lives.” Financial supporters for this research include J.w.u.. Our news editors obtained a quote from the research from Laboratory of Evolution ary Genetics: “It is also desirable for laboratory experiments to keep records o f each animal while rearing them in mass. However, the specific body parts or th e acceptable visual angles that enable individual identification are mostly unkn own for non-human animals. In this study, we investigated whether artificial int elligence (AI) could distinguish individual medaka, a model animal for biologica l, agrarian, ecological, and ethological studies, based on the dorsal view. Usin g Teachable Machine, we took photographs of adult fish (n = 4) and used the imag es for machine learning. To our surprise, the AI could perfectly identify the fo ur individuals in a total of 11 independent experiments, and the identification was valid for up to 10 days. The AI could also distinguish eight individuals, al though machine learning required more time and effort.”

    New Intelligent Systems Study Findings Recently Were Published by Researchers at Universita degli Studi di Pavia (Real-time cyber/physical interplay in scheduli ng for peak load optimisation in Cyber-Physical Energy Systems)

    48-48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 intelligent s ystems. According to news originating from Pavia, Italy, by NewsRx correspondent s, research stated, “This paper is about reducing the power consumption of Cyber -Physical Energy Systems (CPESs) composed of many loads through the usage of a s cheduling technique inspired by the real-time-computing domain; the electric-loa d coordination guarantees a more efficient operation of the entire system by avo iding unnecessary concurrent activation of loads and thus limiting the peak load .”

    Reports from Vrije Universiteit Brussel (VUB) Describe Recent Advances in Roboti cs (Modeling of Flexible Shaft for Robotics Applications)

    49-49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 reporting originating from Brussels, Belgium, by NewsRx cor respondents, research stated, “Reducing moving mass and effective inertia is ess ential for achieving safe human-robot collaboration. This can be achieved either by employing remote actuation, which moves the mass of actuators away from the moving elements of the robot, or by elastic actuation, which decouples the inert ia of the actuator from the inertia of the robot’s link.”

    Findings from University of A Coruna Has Provided New Data on Machine Learning ( A Novel Framework for Generic Spark Workload Characterization and Similar Patter n Recognition Using Machine Learning)

    50-50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 originating from La Coruna, Spain, by N ewsRx correspondents, research stated, “Comprehensive workload characterization plays a pivotal role in comprehending Spark applications, as it enables the anal ysis of diverse aspects and behaviors. This understanding is indispensable for d evising downstream tuning objectives, such as performance improvement.”