首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Giving robots superhuman vision using radio signals

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – In the race to develop robust perception systems for robots, one persistent challenge has beenoperating in bad weather and harsh conditions. For example, traditional, light-based vision sensors suchas camera s or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.

    New Findings from Northwestern Polytechnic University in the Area of Field Robot ics Reported (Control Method of Upper Limb Rehabilitation Exoskeleton for Better Assistance: a Comprehensive Review)

    2-3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 Ro botics - Field Robotics. According to newsreporting originating in Xi’an, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Theupper limb r ehabilitation exoskeleton is a robotic-arm-like device that fits the human upper limb andassists in movement, having the potential to be widely used in medical practice. The control method ofthe upper limb rehabilitation exoskeleton syste m is an important factor that affects the effectiveness ofits rehabilitation tr aining assistance and is also the focus of research in this field.”

    Study Findings on Machine Learning Are Outlined in Reports from University of Sa o Paulo (Predictive modeling of gestational weight gain: a machine learning mult iclass classification study)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news reportingoriginating from the Univers ity of Sao Paulo by NewsRx correspondents, research stated, “Gestationalweight gain (GWG) is a critical factor influencing maternal and fetal health. Excessive or insufficient GWGcan lead to various complications, including gestational di abetes, hypertension, cesarean delivery, low birthweight, and preterm birth.”

    Studies from Zhejiang University of Technology Yield New Data on Machine Learnin g (Prediction of Catalytic Performance of Metal Oxide Catalysts for Alkyne Hydro genation Reaction Based On Machine Learning)

    4-5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 Machine Learn ing have been published. According to newsreporting out of Hangzhou, People’s R epublic of China, by NewsRx editors, research stated, “In the fieldof catalyst design, machine learning is gaining significant attention, especially in situati ons where datais limited. Facing this challenge, we have developed a neural net work model that enhances predictiveaccuracy through the careful selection of ca talyst descriptors and feature engineering, aiming to predictthe conversion rat e and selectivity of the acetylene semi-hydrogenation reaction.”

    Studies from Anhui University of Technology Have Provided New Data on Robotics ( Cwpr: an Optimized Transformer-based Model for Construction Worker Pose Estimati on On Construction Robots)

    5-6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 from Ma’anshan, People’s Republic of China, by NewsRx correspondents, research stated,“Estimating constr uction workers’ poses is critically important for recognizing unsafe behaviors, conductingergonomic analyses, and assessing productivity. Recently, utilizing c onstruction robots to capture RGBimages for pose estimation offers flexible mon itoring perspectives and timely interventions.”

    Findings from Institute for Employment Research (IAB) Yields New Data on Robotic s (Robots, Occupations, and Worker Age: a Production-unit Analysis of Employment )

    6-7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 Ro botics. According to news reporting originating inNurnberg, Germany, by NewsRx journalists, research stated, “We analyze the impact of robot adoption onemploy ment composition using novel micro data on robot use of German manufacturing pla nts linked withsocial security records and data on job tasks. Our task-based mo del predicts more favorable employmenteffects for the least routine- task inten sive occupations and for young workers, the latter being better atadapting to c hange.”

    Study Data from University of Memphis Update Understanding ofMachine Learning ( Enhancing Flood Risk Assessment In UrbanAreas By Integrating Hydrodynamic Model s and Machine LearningTechniques)

    7-8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 Machine Learn ing have been published. According to newsreporting originating from Memphis, T ennessee, by NewsRx correspondents, research stated, “Urbanflood risks have int ensified due to climate change and dense infrastructural development, necessitat inginnovative assessment approaches. This study aimed to integrate advanced hyd rodynamic models withmachine learning (ML) techniques to improve urban flood pr ediction and hazard analysis.”

    Study Results from National Institute of Technology in the Area of Robotics Repo rted (Bioinspired Moisture-driven Soft Robotic Actuator)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting from JammuKashmir, India, by NewsRx journalists, research stated, “Multifunctional materials in nature, utilizingatmospheric wa ter content, offer solutions to challenges in soft-actuating materials research. The leaf ofArundo donax, an invasive plant, showcases exceptional properties: structural integrity, passive actuation,tunability, load-bearing capacity, long evity, and an integrated battery-free fluid generation and distributionmechanis m.”

    Department of Information Systems Researcher Yields New Data on Machine Learning (A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom the Department of In formation Systems by NewsRx correspondents, research stated, “Labor forcepartic ipation of Egyptian women has been a chronic economic problem in Egypt.”

    New Data from University of Coimbra Illuminate Findings in Robotics (Pointnetpga p-slc: a 3d Lidar-based Place Recognition Approach With Segment-level Consistenc y Training for Mobile Robots In Horticulture)

    10-10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 Coimbra, Portugal, by NewsRx correspondents, research stated, “3D LiDAR-based place recognitionremains larg ely underexplored in horticultural environments, which present unique challenges due to theirsemi-permeable nature to laser beams. This characteristic often re sults in highly similar LiDAR scans fromadjacent rows, leading to descriptor am biguity and, consequently, compromised retrieval performance.”