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    Researchers from Zhejiang University Discuss Findings in Robotics and Automation (Design, Modeling and Adaptive Robust Control of a Spatial Symmetric Omni-direc tional Aerial Vehicle)

    48-48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 in Hangzhou, People’s Republic of China, by NewsRx journalists, research stat ed, “The increasing popularity of Unmanned Aerial Vehicles has led to heightened demand for their ability to interact with the environment along with the large flight envelopes. In this letter, we propose a new spatial symmetric fully actua ted multirotor (FAM) that is capable of achieving fast, smooth attitude and posi tion motion on the entire special Euclidean group.”

    Central South University Researcher Reveals New Findings on Support Vector Machines (Prediction method of TBM tunnel surrounding rock classification based on LS TM-SVM)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on support vector machin es have been presented. According to news originating from Changsha, People’s Re public of China, by NewsRx correspondents, research stated, “TBM tunnel surround ing rock classification is a key indicator for supporting decision-making and en suring safe construction.”

    New Robotics Study Results Reported from Massachusetts Institute of Technology ( Unified Automatic Control of Vehicular Systems With Reinforcement Learning)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Cambridge, Massachusetts, by NewsRx editor s, research stated, “Emerging vehicular systems with increasing proportions of a utomated components present opportunities for optimal control to mitigate conges tion and increase efficiency. There has been a recent interest in applying deep reinforcement learning (DRL) to these nonlinear dynamical systems for the automa tic design of effective control strategies.”

    Shaoguan University Researcher Has Published New Study Findings on Support Vector Machines (Comparative models of supportvector machine, multilayer perceptron, and decision tree predication approaches for landslide susceptibility analysis)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on is the subject of a ne w report. According to news reporting out of Guangdong, People’s Republic of Chi na, by NewsRx editors, research stated, “Naqadeh Region (NR) is one of the most sensitive regions regarding geo-hazards occurrence in Northwest of Iran. The lan dslides triggering parameters that identified for the studied region are classif ied as elevation, aspect, slope angle, lithology, drainage density, distance to river, weathering, land-cover, precipitation, vegetation, distance to faults, di stance to roads, and distance to the cities.”

    Report Summarizes Robotics Study Findings from Polytechnic University of Cartagena (Bioinspired Control Architecture for Adaptive and Resilient Navigation of Un manned Underwater Vehicle in Monitoring Missions of Submerged Aquatic Vegetation ...)

    52-53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 have been published. According to news reporting from Cartagena, Spain, by NewsRx jo urnalists, research stated, “Submerged aquatic vegetation plays a fundamental ro le as a habitat for the biodiversity of marine species.”

    Sidi Mohamed Ben Abdellah University Researchers Report Research in Machine Learning (Performance evaluation of Machine Learning algorithms for LULC classificat ion: A case study of Fez-Meknes region)

    53-53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 artificial in telligence. According to news originating from Sidi Mohamed Ben Abdellah Univers ity by NewsRx correspondents, research stated, “Significant advancements have be en made in remote sensing technologies, with increasingly refined applications i n creating LULC maps. The integration of Machine Learning-based approaches has b een explored to develop LULC maps with varying levels of precision, leveraging d iverse satellite imagery.”

    New Findings Reported from Binghamton University Describe Advances in Robotics ( Complete and Near-optimal Robotic Crack Coverage and Filling In Civil Infrastruc ture)

    54-54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 Robotics. Acc ording to news reporting out of Binghamton, New York, by NewsRx editors, researc h stated, “We present a simultaneous sensor-based inspection and footprint cover age (SIFC) planning and control design with applications to autonomous robotic c rack mapping and filling. The main challenge of the SIFC problem lies in the cou pling of complete sensing (for mapping) and robotic footprint (for filling) cove rage tasks.”

    Reports from Vrije Universiteit Brussel (VUB) Provide New Insights into Robotics and Automation (Optimistic Reinforcement Learningbased Skill Insertions for Task and Motion Planning)

    55-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting from Brussels, Belgium, by NewsRx journalists, research stated, “Task and motion planning (TAMP) for ro botics manipulation necessitates long-horizon reasoning involving versatile acti ons and skills. While deterministic actions can be crafted by sampling or optimi zing with certain constraints, planning actions with uncertainty, i.e., probabil istic actions, remains a challenge for TAMP.”

    Findings on Robotics Reported by Investigators at University of Padua (Electro-m echanical Modeling and Identification of the Ur5 E-series Robot)

    55-56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 reporting originating from Vicenza, Italy, by NewsRx corre spondents, research stated, “Collaborative robotics is a field of growing indust rial interest, within which understanding the energetic behavior of manipulators is essential. In this work, we present the electro-mechanical modeling of the U R5 e-series robot through the identification of its dynamics and electrical para meters.”

    Studies from Rutgers University - The State University of New Jersey Add New Findings in the Area of Machine Learning (Integrating Optical and Electrical Sensing With Machine Learning for Advanced Particle Characterization)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Piscataway, New Jersey, by NewsRx journalists, research stated, “Particle classification plays a crucial role in various scientific and technological applications, such as differentiat ing between bacteria and viruses in healthcare applications or identifying and c lassifying cancer cells. This technique requires accurate and efficient analysis of particle properties.”