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    Investigators from University College Dublin Zero in on Robotics (Robust Learnin g-based Incipient Slip Detection Using the Papillarray Optical Tactile Sensor fo r Improved Robotic Gripping)

    74-74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 reportingoriginating from Dublin, Ireland, by NewsRx correspondents, research stated, “The ability to detect slip,particular ly incipient slip, enables robotic systems to take corrective measures to preven t a grasped objectfrom being dropped. Therefore, slip detection can enhance the overall security of robotic gripping.”Financial support for this research came from China Scholarship Council.

    Shanghai University Researcher Updates Knowledge of Cyborg and Bionic Systems (L eave It to Large Language Models! Correction and Planning with Memory Integratio n)

    75-75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 cyborg and bionic systems. According to news reportingout of Shanghai, People’s Republ ic of China, by NewsRx editors, research stated, “As humans, we cannaturally br eak down a task into individual steps in our daily lives and we are able to prov ide feedbackor dynamically adjust the plan when encountering obstacles. Similar ly, our aim is to facilitate agentsin comprehending and carrying out natural la nguage instructions in a more efficient and cost-effectivemanner.”

    Investigators from London Metropolitan University Zero in on Artificial Intellig ence (A Comprehensive Analysis of the Role of Artificial Intelligence and Machin e Learning In Modern Digital Forensics and Incident Response)

    76-76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 Artificial In telligence have been published. According to newsreporting out of London, Unite d Kingdom, by NewsRx editors, research stated, “In the dynamic landscapeof digi tal forensics, the integration of Artificial Intelligence (AI) and Machine Learn ing (ML) stands as atransformative technology, poised to amplify the efficiency and precision of digital forensics investigations.However, the use of ML and A I in digital forensics is still in its nascent stages.”

    Research Conducted at Sun Yat-sen University Has Provided New Information about Robotics and Automation (Simulating Complete Points Representations for Single-v iew 6-dof Grasp Detection)

    77-77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 - Robotics a nd Automation have been presented. Accordingto news reporting originating from Guangzhou, People’s Republic of China, by NewsRx correspondents,research stated , “The utilization of single-view depth cameras for image capture is prevalent i n the contextof robotic grasping. However, the incomplete point cloud structure generated from a single-view depthimage poses challenges in accurately predict ing grasping configurations, due to the lack of some importantshapes or contour s of objects.”

    Reports Summarize Robotics and Automation Study Results from Xi’an Jiaotong Univ ersity (Iterative Feedback Network for Unsupervised Point Cloud Registration)

    78-78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 - Robotics a nd Automation have been presented. Accordingto news reporting from Xi’an, Peopl e’s Republic of China, by NewsRx journalists, research stated, “As afundamental problem in computer vision, point cloud registration aims to seek the optimal t ransformationfor aligning a pair of point clouds. In most existing methods, the information flows are usually forwardtransferring, thus lacking the guidance f rom high-level information to low-level information.”Financial support for this research came from Key Research and Development Progr am of ShaanxiProvince.

    University of Science and Technology China Details Findings in Androids (Stiffne ss Optimization of Cable-driven Humanoid Manipulators)

    79-79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 Robotics - Androids. According to news reportingfrom Hefei, People’s Republic o f China, by NewsRx journalists, research stated, “Cable-driven humanoidmanipula tors offer significant advantages in terms of lightweight design, flexibility, a nd safety, thusthey have promising prospects for applications with frequent hum an-robot interactions. However, cableflexibility and joint mechanism lead to lo w stiffness in the cable-driven joint, resulting in a reduction inthe Cartesian stiffness of the humanoid manipulators.”

    New Robotics Study Findings Have Been Reported by Investigators at Guangdong Uni versity of Technology (Mole-inspired Robot Burrowing With Forelimbs for Planetar y Soil Exploration)

    80-80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 originating fromGuangzhou, People’s Republic of China , by NewsRx correspondents, research stated, “The biologicalworld serves as a v ast reservoir of inspiration for human innovation, particularly in the realm of roboticsdesigned to navigate intricate granular environments. Among these creat ures adept at burrowing, the molestands out due to its exceptional body structu re and unparalleled efficiency, surpassing most engineeringburrowing systems.”

    Researchers at Sun Yat-sen University Target Robotics (Dcl-slam: a Distributed C ollaborative Lidar Slam Framework for a Robotic Swarm)

    81-81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 originating fromGuangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “To execute collaborativetasks in unkno wn environments, a robotic swarm must establish a global reference frame andloc ate itself in a shared understanding of the environment. However, it faces many challenges in real-worldscenarios, such as the prior information about the envi ronment being absent and poor communicationamong the team members.”

    Findings from Guangdong University of Technology Provides New Data about Robotic s and Automation (Ig-lio: an Incremental Gicpbased Tightly-coupled Lidar-inerti al Odometry)

    82-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics - Robotics and Automation is now available. Accordingto news reporting from Guangzhou, People ’s Republic of China, by NewsRx journalists, research stated,“This work propose s an incremental Generalized Iterative Closest Point (GICP) based tightly-couple dLiDAR-inertial odometry (LIO), iG-LIO, which integrates the GICP constraints a nd inertial constraintsinto a unified estimation framework. iG-LIO uses a voxel -based surface covariance estimator to estimatethe surface covariances of scans , and utilizes an incremental voxel map to represent the probabilisticmodels of surrounding environments. These methods successfully reduce the time consumptio n of thecovariance estimation, nearest neighbor search, and map management.”

    Faculty of Computer Science and Engineering Researcher Provides New Insights int o Machine Learning (Automating Feature Extraction from Entity-Relation Models: E xperimental Evaluation of Machine Learning Methods for Relational Learning)

    83-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news originating from theFaculty of Computer Science a nd Engineering by NewsRx editors, the research stated, “With the exponentialgro wth of data, extracting actionable insights becomes resource-intensive. In many organizations,normalized relational databases store a significant portion of th is data, where tables are interconnectedthrough some relations.”