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    Investigators from Punjab Agricultural University Have Reported New Data on Fiel d Robotics (Development and Field Evaluation of a Vr/ar-based Remotely Controlle d System for a Two-wheel Paddy Transplanter)

    40-41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 - Field Robo tics have been presented. According tonews reporting from Punjab, India, by New sRx journalists, research stated, “Operating a two-wheelpaddy transplanter trad itionally poses physical strain and cognitive workload challenges for farm worke rs,especially during headland turns. This study introduces a virtual reality (V R)/augmented reality (AR)basedremote-control system for a two-wheel paddy trans planter to resolve these issues.”

    Research Conducted at Nankai University Has Provided New Informationabout Machi ne Learning (Urban Flood Susceptibility Mapping Using Remote Sensing, Social Sen sing and an Ensemble Machine Learning Model)

    41-41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 Tianjin, People’s R epublic of China, by NewsRx correspondents, research stated, “Floodsusceptibili ty mapping is crucial for urban disaster management. However, the heterogeneity of urban landuse and the complexity of terrain pose challenges to the accuracy and generalizability of flood models.”Financial support for this research came from National Key R & D P rogram of China.

    New Artificial Intelligence Research from Jiangsu University Discussed(Insight into the thermal transport by considering the modified Buongiorno model during t he silicon oil-based hybrid nanofluid flow: probed by artificial intelligence)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news reporting from Jiangsu,People’s Republic of China, by NewsRx journalists, research stated, “This work aims to analyze the impactsof the magnetic field, activation of energy, thermal radiation, thermophoresis, and Brownian effects on thehybrid nanofluid (HNF) (Ag++silicon oil) flow past a po rous spinning disk. The pressure loss due toporosity is constituted by the Darc y-Forchheimer relation.”

    Researchers from Queen’s University Belfast Report on Findings in Machine Learni ng (Quantum Deep Reinforcement Learning for Dynamic Resource Allocation In Mobil e Edge Computing-based Iot Systems)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting originatingin Belfast, United Kingdom, by NewsRx j ournalists, research stated, “This paper exploits a quantumempoweredmachine le arning algorithm to enhance computation learning speed. We leverage quantumphen omena such as superposition and entanglement to work on large-scale multi-dimens ional data representedby quantum states.”

    Data on Artificial Intelligence Reported by Researchers at DeakinUniversity (A Review of Explainable Artificial Intelligence In Healthcare)

    44-44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 Ar tificial Intelligence. According to news reportingout of Geelong, Australia, by NewsRx editors, research stated, “Explainable Artificial Intelligence (XAI)enc ompasses the strategies and methodologies used in constructing AI systems that e nable end -users tocomprehend and interpret the outputs and predictions made by AI models. The increasing deployment ofopaque AI applications in highstakes fi elds, particularly healthcare, has amplified the need for clarity andexplainabi lity.”

    New Robotics Study Results from Indian Institute of Technology (IIT) Kharagpur D escribed ('reinforcement Learning Particle Swarm Optimization Based Trajectory P lanning of Autonomous Ground Vehicle Using 2d Lidar Point Cloud.')

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. Acc ording to news reporting out of West Bengal,India, by NewsRx editors, research stated, “The advent of autonomous mobile robots has spurred researchinto effici ent trajectory planning methods, particularly in dynamic environments with varie d obstacles.This study focuses on optimizing trajectory planning for an Autonom ous Ground Vehicle (AGV) using anovel Reinforcement Learning Particle Swarm Opt imization (RLPSO) algorithm.”

    Studies Conducted at Tianjin University on Robotics Recently Reported(Sensorles s Admittance Control of 6-dof Parallel Robot In Human-robot Collaborative Assemb ly)

    46-47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 i n a new report. According to news reportingout of Tianjin, People’s Republic of China, by NewsRx editors, research stated, “This paper presentsan adaptive adm ittance control to achieve human-robot collaborative (HRC) assembling of large, heavycomponents without using external sensors. This sensorless adaptive admitt ance control is constructedby the dynamic model of a six degree-of-freedom (DoF ) parallel robot based on finite and instantaneousscrew (FIS) theory.”

    New Computational Intelligence Research from China University of Geosciences Dis cussed (Design of an Intelligent Control System for Compound Directional Drillin g in Underground Coal Mines)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on computational intelligen ce are presented in a new report. Accordingto news originating from Hubei, Peop le’s Republic of China, by NewsRx correspondents, research stated,“The compound directional drilling process, including slip and rotation, is the key to realiz ing long-holedrilling in coal mines.”

    Researchers from National University of Singapore Describe Findingsin Robotics and Automation (Drivescenegen: Generating Diverse and Realistic Driving Scenario s From Scratch)

    48-48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 originati ng from Singapore, Singapore, by NewsRx correspondents, researchstated, “Realis tic and diverse traffic scenarios in large quantities are crucial for the develo pment andvalidation of autonomous driving systems. However, owing to numerous d ifficulties in the data collectionprocess and the reliance on intensive annotat ions, real-world datasets lack sufficient quantity and diversityto support the increasing demand for data.”

    Researchers from BioRobot Institute Report on Findings in Robotics (Pushing With Soft Robotic Arms Via Deep Reinforcement Learning)

    49-49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 Pontedera, Italy, by NewsR x correspondents, research stated, “Soft robots can adaptively interactwith uns tructured environments. However, nonlinear soft material properties challenge mo deling andcontrol.”