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    Data on Robotics and Automation Described by Researchers at Harbin Institute of Technology (Robust Visual Localization System With Hd Map Based On Joint Probabi listic Data Association)

    31-32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 Robotics - Ro botics and Automation have been published.According to news reporting from Harb in, People’s Republic of China, by NewsRx journalists, research stated, “Localiz ation based on a high-definition (HD) map is a pivotal technology for autonomous driving.Nonetheless, establishing precise data association (DA) between detect ed landmarks and map landmarks presents a formidable challenge when leveraging p rior information on maps.”

    Recent Findings in Machine Learning Described by Researchers from Harbin Institu te of Technology (Prediction of Damage Potential In Mainshock-aftershock Sequenc es Using Machine Learning Algorithms)

    32-33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 Machine Learn ing.According to news reporting originating in Harbin, People’s Republic of Chi na, by NewsRx journalists, research stated, “Assessing the potential damage caus ed by earthquakes is crucial for a community’s emergency response.In this study , four machine learning (ML) methods-random forest, extremely randomized trees, AdaBoost (AB), and gradient boosting (GB)-were employed to develop prediction mo dels for the damage potential of the mainshock (DIMS) and mainshock-aftershock s equences (DIMA).”

    New Robotics Data Has Been Reported by a Researcher at Faculty of Mechanical Eng ineering and Robotics (Vision Systems for a UR5 Cobot on a Quality Control Robot ic Station)

    33-34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 robotics.According to news reporting originating from Krakow, Poland, by NewsRx correspondents, research stated, “This paper addresses the development of a vis ion system for the UR5 cobot and the corresponding operating algorithm of the ro botic quality control station.”

    Investigators at Tsinghua University Report Findings in Intelligent Transport Sy stems (Electric-bus Charging Stations Multi-objective Optimization Planning On C oupled Power and Traffic Networks)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Transportation - I ntelligent Transport Systems.According to news reporting from Guangdong, People ’s Republic of China, by NewsRx journalists, research stated, “The electrificati on of public transportation is one significant step towards the sustainability o f modern society.Both power networks and traffic networks are influenced by the optimal allocation of electric-bus (e-bus) charging stations.”Funders for this research include Tsinghua University Spring Breeze Fund, Tsingh ua University Fund, Science and Technology Innovation Committee of Shenzhen.

    Data on Robotics Described by a Researcher at Inha University (Stair-Climbing Wh eeled Robot Based on Rotating Locomotion of Curved-Spoke Legs)

    35-36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 robotics.According to news reporting originating from Incheon, South Korea, by NewsRx correspondents, research stated, “This study proposes a new wheel-leg mec hanism concept and formulations for the kinematics and dynamics of a stair-climb ing robot utilizing the rotating leg locomotion of curved spokes and rolling tir es.”Funders for this research include Inha University.

    New Machine Learning Study Findings Recently Were Reported by Researchers at Sou th China University of Technology (Analysing Urban Local Cold Air Dynamics and C limate Functional Zones Using Interpretable Machine Learning: a Case Study of Ti anhe ...)

    36-37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 Machine Learning are pre sented in a new report.According to news originating from Guangzhou, People’s R epublic of China, by NewsRx correspondents, research stated, “Deterioration of t he thermal environment in built-up areas poses a serious threat to human health, comfort, and urban infrastructure, while also increasing energy consumption and carbon emissions.This underscores the need to optimize wind environments as a key mitigation strategy for urban areas.”

    Data from Hubei University of Automotive Technology Provide New Insights into Ar tificial Intelligence (Real-time Logistics Transport Emission Monitoring-integra ting Artificial Intelligence and Internet of Things)

    37-38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 Shiyan, People’s Rep ublic of China, by NewsRx correspondents, research stated, “The lack of a global ly recognized measurement technique combined with a limited ability to comprehen d the actual level of GHG emissions in intricate logistics operations causes sig nificant obstacles for firms in assessing the magnitude of their environmental f ootprint.Nevertheless, linking, upkeeping, and managing gas detectors on mobile vehicles under varying road and weather circumstances present an expensive solu tion for predicting GHG emissions.”

    Research from Shizuoka University Yields New Data on Artificial Intelligence (In trinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discovery)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report.According to news reporting out of Hamamat su, Japan, by NewsRx editors, research stated, “Studies on reinforcement learnin g have developed the representation of curiosity, which is a type of intrinsic m otivation that leads to high performance in a certain type of tasks.”

    New Findings from Swiss Federal Institute of Technology Describe Advances in Rob otics and Automation (Identifying Terrain Physical Parameters From Vision - Towa rds Physical-parameter-aware Locomotion and Navigation)

    39-39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 Robotics - Ro botics and Automation have been published.According to news reporting originati ng from Zurich, Switzerland, by NewsRx correspondents, research stated, “Identif ying the physical properties of the surrounding environment is essential for rob otic locomotion and navigation to deal with non-geometric hazards, such as slipp ery and deformable terrains.It would be of great benefit for robots to anticipa te these extreme physical properties before contact; however, estimating environ mental physical parameters from vision is still an open challenge.”

    Researchers from Beijing University of Technology Report Recent Findings in Robo tics (Path Planning In Additive Manufacturing With Multi-robot Collaboration Bas ed On Structural Primitive Partitioning)

    40-40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 Robotics are presented i n a new report.According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Directed Energy Deposition (DED) te chnology is increasingly favored for swiftly fabricating large structural compon ents due to its high printing efficiency.Despite its advantages, challenges per sist in achieving satisfactory surface finish and forming precision, hindering i ts widespread adoption across industries.”Funders for this research include National Natural Science Foundation of China ( NSFC), Beijing Natural Science Foundation, State Key Laboratory of Advanced Weld ing and Joining, Harbin Institute of Technology.