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    University of Bern Researchers Describe New Findings in Robotics [RTMN 2.0-An Extension of Robot Task Modeling and Notation (RTMN) Focused on Human-Robot Collaboration]

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have been published. According to news reporting out ofBurgdorf, Switzerland, by NewsRx editors, research stated, “This paper describes RTMN 2.0, an extensionof the modeling language RTMN. RTMN combines process modeling and robot execution.”

    Norwegian University of Science and Technology (NTNU) Researchers Describe Recent Advances in Artificial Intelligence (An Exploration of the Pepper Robot’s Capabilities: Unveiling Its Potential)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Gjovik, Norway, by NewsRx editors, the research stated, “The application of social robots is increasingdaily due to their various capabilities. In real settings, social robots have been successfully deployed inmultiple domains, such as health, education, and the service industry.”

    Yanshan University Researchers Target Robotics (Force/positionbased velocity control strategy for the lower limb rehabilitation robot during active training: design and validation)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on robotics have been published. According to news originatingfrom Qinhuangdao, People’s Republic of China, by NewsRx correspondents, research stated, “Aimingat the shortcomings of most existing control strategies for lower limb rehabilitation robots that are difficultto guarantee trajectory tracking effect and active participation of the patient, this paper proposes aforce/position-based velocity control (FPVC) strategy for the hybrid end-effector lower limb rehabilitationrobot (HE-LRR) during active training.”

    Beijing University of Technology Reports Findings in Machine Learning (Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Recently,computational fluid dynamics enables the non-invasive calculation of fractional flow reserve (FFR) basedon 3D coronary model, but it is time-consuming. Currently, machine learning technique has emerged asan efficient and reliable approach for prediction, which allows saving a lot of analysis time.”

    Yeditepe University School of Medicine Reports Findings in Artificial Intelligence (Current status of artificial intelligence technologies in pituitary adenoma surgery: a scoping review)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsreporting originating from Istanbul, Turkey, by NewsRx correspondents, research stated, “Pituitary adenomasurgery is a complex procedure due to critical adjacent neurovascular structures, variations in size andextensions of the lesions, and potential hormonal imbalances. The integration of artificial intelligence(AI) and machine learning (ML) has demonstrated considerable potential in assisting neurosurgeons indecision-making, optimizing surgical outcomes, and providing real-time feedback.”

    Recent Findings in Robotics Described by Researchers from Stanford University (Robocraft: Learning To See, Simulate, and Shape Elasto-plastic Objects In 3d With Graph Networks)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Robotics. According to news reporting originatingfrom Stanford, California, by NewsRx correspondents, research stated, “Modeling and manipulating elastoplasticobjects are essential capabilities for robots to perform complex industrial and household interactiontasks (e.g., stuffing dumplings, rolling sushi, and making pottery). However, due to the high degreesof freedom of elasto-plastic objects, significant challenges exist in virtually every aspect of the roboticmanipulation pipeline, for example, representing the states, modeling the dynamics, and synthesizing thecontrol signals.”

    New Machine Learning Data Have Been Reported by Investigators at Duke University (Globally-consistent Rule-based Summaryexplanations for Machine Learning Models: Application To Creditrisk Evaluation)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Durham, North Carolina, by NewsRx correspondents, research stated, “We develop amethod for understanding specific predictions made by (global) predictive models by constructing (local)models tailored to each specific observation (these are also called ‘explanations’ in the literature). Unlikeexisting work that ‘explains’ specific observations by approximating global models in the vicinity of theseobservations, we fit models that are globally-consistent with predictions made by the global model on pastdata.”

    Researchers from Peking University Describe Findings in Robotics (Accelerated K-serial Stable Coalition for Dynamic Capture and Resource Defense)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics are presented in a new report. According to news reportingout of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Coalition is an importantmean of multi-robot systems to collaborate on common tasks. An adaptive coalition strategy is essentialfor the online performance in dynamic and unknown environments.”

    New Findings on Robotics and Automation Described by Investigators at Northwest University (Ccag: End-to-end Point Cloud Registration)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Robotics - Robotics and Automation. According to newsreporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated,“Point cloud registration is a crucial task in computer vision and 3D reconstruction, aiming to alignmultiple point clouds to achieve globally consistent geometric structures. However, traditional point cloudregistration methods face challenges when dealing with low overlap and large-scale point cloud data.”

    Department of Radiology and Nuclear Medicine Reports Findings in Artificial Intelligence (Diagnostic accuracy of an artificial intelligence algorithm versus radiologists for fracture detection on cervical spine CT)

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the subject of a report. According to news reportingfrom Zwolle, Netherlands, by NewsRx journalists, research stated, “To compare diagnostic accuracy of adeep learning artificial intelligence (AI) for cervical spine (C-spine) fracture detection on CT to attendingradiologists and assess which undetected fractures were injuries in need of stabilising therapy (IST). Thissingle-centre, retrospective diagnostic accuracy study included consecutive patients (age 18 years; 2007-2014) screened for C-spine fractures with CT.”