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    Researchers from Technical University Munich (TU Munich) Report on Findings in Robotics (Centralized Vs. Decoupled Dual-arm Planning Taking Into Account Path Qu ality)

    39-39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 is now availab le. According to news originating from Garching, Germany, by NewsRx corresponden ts, research stated, “The aim of coordinated planning is to avoid robot-to-robot collisions in a multi-robot system, and there are two standard solution approac hes: centralized planning and decoupled planning. Our first contribution is a de coupled planning approach that ensures C2\documentclas s[12pt]{minimal} \ usepackage{amsmath} \usepackage{ wasysym} \usepackage{ amsfonts} \ usepackage{amssymb} \usepackage{ amsbsy} \usepackage{mathrsfs} \ usepackage {upgreek} \setlength{ \oddsidemargin}{-69pt} \ begin{document}$$\ varvec{\mathcal {C} <. >2}$$\ end{document}-continuous control commands with zero ve locities and zero accelerations at the start and goal.” Financial supporters for this research include Projekt DEAL, KME - Kompetenzzent rum Mittelstand GmbH.

    New Machine Learning Study Findings Recently Were Published by esearchers at Mo rehead State University (A Comprehensive Review of Machine Learning Techniques f or Condition-Based Maintenance)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting from Morehead State Univ ersity by NewsRx journalists, research stated, “While most industrial maintenanc e strategies are centered on optimizing machine runtime and cost reduction, the conditionbased maintenance (CBM) strategy distinguishes itself from others in its use of real-time operational data from machines to help engineers make inform ed decisions.”

    Research in the Area of Machine Learning Reported from University of Luxembourg (Fuel-Efficient and Fault-Tolerant CubeSat Orbit Correction via Machine Learning -Based Adaptive Control)

    40-41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 originating from Esch sur Alzette, Luxe mbourg, by NewsRx editors, the research stated, “The increasing deployment of Cu beSats in space missions necessitates the development of efficient and reliable orbital maneuvering techniques, particularly given the constraints on fuel capac ity and computational resources.”

    New Robotics Study Results from University of Electronic Science and Technology of China Described (Locomotion for Insect-scale Robots With Bionic Strategies: a Review)

    41-42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 Ro botics. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Insect-scale robots posses s the advantageous traits of small size, lightweight, and high flexibility. Thes e features make them suitable for complex, narrow, or higher-than-the-ground env ironments, allowing these insect-scale robots to become highly sought-after rese arch topics.”

    New Artificial Intelligence Data Has Been Reported by a Researcher at Central Qu eensland University (Artificially Intelligent Vehicle-to- Grid Energy Management: A Semantic-Aware Framework Balancing Grid Demands and User Autonomy)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Sydney, Australia, by NewsRx correspondents, research stated, “As the adoption of electric vehicles increases, the challenge of managing bidirectional energy flow while ensuring gr id stability and respecting user preferences becomes increasingly critical.”

    Researcher at Yangtze Normal University Details Research in Machine Translation (Research on the Optimization Model of Semantic Coherence and Fluency in Languag e Translation)

    44-45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 ma chine translation. According to news originating from Chongqing, People’s Republ ic of China, by NewsRx correspondents, research stated, “Traditional Transformer machine translation cannot effectively deal with translation errors due to the lack of an explicit evaluation mechanism for the correctness of the target langu age text, which not only hinders the improvement of the translation quality of t he target language but also makes the decoding process highly complex. This pape r constructs a model for language translation based on decoding optimization.”

    Laval University Researcher Has Published New Data on Machine Learning (Methods for Corrosion Detection in Pipes Using Thermography: A Case Study on Synthetic D atasets)

    44-44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 originating from Quebec, Canada, by New sRx correspondents, research stated, “This study reviews advanced methods for co rrosion detection and characterization in pipes using thermography, with a focus on addressing the limitations posed by small datasets.”

    Studies from McGill University Provide New Data on Artificial Intelligence (Auto mation of Historical Weather Data Rescue)

    45-46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 Artificial Intelligence are presented in a new report. According to news reporting originating from Mont real, Canada, by NewsRx correspondents, research stated, “Data rescuers worldwid e have been trying to retrieve millions of valuable weather historical records s o the observations contained in those records are preserved, searchable, analysa ble and machine readable. The majority of the records are written by hand, in pr int or cursive handwriting.”

    Researchers from South China Normal University Report on Findings in Machine Lea rning (Discovering Transformation Products of Pharmaceuticals In Domestic Wastew aters and Receiving Rivers By Using Non-target Screening and Machine Learning .. .)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Wastewater treatment plants ( WWTPs) are an important source of pharmaceuticals in surface water, but informat ion about their transformation products (TPs) is very limited. Here, we investig ated occurrence and transformation of pharmaceuticals and TPs in WWTPs and recei ving rivers by using suspect and non-target analysis as well as target analysis. ”

    Researchers from Shenzhen Research Institute Describe Findings in Acute-Phase Pr oteins (A Fast Transfer Reinforcement Learning Model for Transferring Force-base d Human Speed Adjustment Skills To Robots for Collaborative Assembly Posture ... )

    47-48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 Proteins - Acute-Phase Proteins is now available. According to news originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Human-robot coll aboration demonstrates significant autonomy and flexibility, making it highly su itable for personalized and adaptable production tasks. However, the disparity b etween human-expected collaboration speed and actual robot collaboration speed d iminishes the accuracy and comfort of human-robot interactions.”