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    Investigators from Harbin Institute of Technology Target Robotics (Adaptive Grin ding Planning of Robotic Arms With Minimal Cost)

    97-98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 reportingout of Harbin, People’s Republic of China, by NewsRx editors, research stated, “In adaptive grinding task,robotic arms are required to autonomously achieve uniform grinding of workpieces. This b rings a greatchallenge to estimation and planning techniques.”

    Sun Yat-sen Memorial Hospital Reports Findings in Machine Learning (Machine Lear ning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Les ions)

    98-98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 th e subject of a report. According to newsoriginating from Guangzhou, People’s Re public of China, by NewsRx correspondents, research stated,“This study aims to use machine learning techniques together with radiomics methods to build a preoperative predictive diagnostic model from spiral computed tomography (CT) images. The model is intendedfor the differential diagnosis of common jaw cystic lesio ns. Retrospective, case-control study.”

    Researcher from Northwestern Polytechnical University Reports Details of New Stu dies and Findings in the Area of Robotics (Topological Map-Based Autonomous Expl oration in Large-Scale Scenes for Unmanned Vehicles)

    99-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been pr esented. According to news reporting originatingfrom Northwestern Polytechnical University by NewsRx correspondents, research stated, “Robotautonomous explora tion is a challenging and valuable research field that has attracted widespread researchinterest in recent years.”

    New Machine Learning Findings Reported from National Institute of Technology Kar nataka (Machine Learning-based Approaches To Enhance the Soil Fertility-a Review )

    100-100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 Ma chine Learning. According to news reportingoriginating from Karnataka, India, b y NewsRx correspondents, research stated, “Agriculture plays animperative role in many countries’ economies and is a substantive source of survival. The variat ion in asoil nutrient decreases crop yield.”

    Data on Robotics and Automation Described by Researchers at University of Tartu (Priest: Projection Guided Sampling-based Optimization for Autonomous Navigation )

    101-101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 - Ro botics and Automation have been published.According to news reporting out of Ta rtu, Estonia, by NewsRx editors, research stated, “Efficient navigationin unkno wn and dynamic environments is crucial for expanding the application domain of m obile robots.The core challenge stems from the non-availability of a feasible g lobal path for guiding optimization-basedlocal planners.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Nan jing University of Science and Technology (Prediction of Creep Properties of Co- 10al-9w Superalloys With Machine Learning)

    102-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According to newsoriginating from Nanjing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Predictionof creep in superalloys is challenging due to the complex morphology evolution and high-temperatureloading conditions. Machine learning shows great potential in capturing the nonlinear relationship betweenmicrostructure and creep mechanical properties.”

    Data on Machine Learning Described by Researchers at School of Energy Science an d Engineering (Machine-learning-aided Prediction and Optimization of Struvite Re covery From Synthetic Wastewater)

    103-103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 th e subject of a report. According to newsreporting from Hunan, People’s Republic of China, by NewsRx journalists, research stated, “Struvite recoveryfrom waste water is a promising direction for recovering phosphorus and nitrogen nutrients. However,traditional experiment-basis optimization of struvite crystallization conditions is time-consuming, laborintensive,and limited to the number of vari ables.”

    Shanghai University Researchers Update Current Study Findings on Cyborg and Bion ic Systems (MonoAux: Fully Exploiting Auxiliary Information and Uncertainty for Monocular 3D Object Detection)

    104-104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 cyborg and bionic systems have been published. Accordingto news originating from Shanghai, Peopl e’s Republic of China, by NewsRx correspondents, researchstated, “Monocular 3D object detection plays a pivotal role in autonomous driving, presenting a formidable challenge by requiring the precise localization of 3D objects within a sing le image, devoid of depthinformation. Most existing methods in this domain fall short of harnessing the limited information availablein monocular 3D detection tasks.”

    University of Utah Reports Findings in Machine Learning (One Descriptor to Fold Them All: Harnessing Intuition and Machine Learning to Identify Transferable Las so Peptide Reaction Coordinates)

    105-105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 th e subject of a report. According to newsreporting out of Salt Lake City, Utah, by NewsRx editors, research stated, “Identifying optimal reactioncoordinates fo r complex conformational changes and protein folding remains an outstanding chal lenge.This study combines collective variable (CV) discovery based on chemical intuition and machine learningwith enhanced sampling to converge the folding fr ee energy landscape of lasso peptides, a unique class ofnatural products with k not-like tertiary structures.”

    Imperial College London Reports Findings in Robotics (A Soft Continuum Robot Wit h Self-controllable Variable Curvature)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news reportingoriginating in London, United Kingdom , by NewsRx journalists, research stated, “This letter introduces a new type of soft continuum robot, called SCoReS, which is capable of self-controlling contin uouslyits curvature at the segment level; in contrast to previous designs which either require external forcesor machine elements, or whose variable curvature capabilities are discrete-depending on the number oflocking mechanisms and seg ments. The ability to have a variable curvature, whose control is continuousand independent from external factors, makes a soft continuum robot more adaptive i n constrainedenvironments, similar to what is observed in nature in the elephan t’s trunk or ostrich’s neck for instancewhich exhibit multiple curvatures.”