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    Recent Studies from Huazhong University of Science and Technology Add New Data to Robotics (Integrated Task Sequence Planning and Assignment for Human-robot Col laborative Assembly Station)

    78-78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 available. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Human-robot collaborative assembly (HRCA) can give full play to their respective advantages and significantly improve assembly efficiency. Rational assembly sequences and task assignment schemes facilitate an efficient and smooth assembly process.”

    Study Results from Southeast University Update Understanding of Robotics (A Guid ance Module Based Formation Control Scheme for Multi-mobile Robot Systems With Collision Avoidance)

    79-79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 originating in Nanjing, People’s Re public of China, by NewsRx journalists, research stated, “This paper investigate s distributed formation control of multi-mobile robot systems with collision avoidance. A novel guidance module based formation control scheme is established, which consists of two main parts.”

    Studies from Chongqing Technology and Business University in the Area of Machine Learning Described (Industrial 6g-iot and Machine-learning-supported Intelligent Sensing Framework for Indicator Control Strategy In Sewage Treatment Process)

    80-80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 presented in a new report. According to news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “In context of 6G mobile computing, the combination of Industrial Internet of Things (IoT ) and machine learning extends intelligent sensing ability to improve industrial operation efficiency. In conventional operation of sewage treatment process (ST P), manipulators often made excessive aeration amount in treatment process, in order to reach environmental standard.”

    Investigators at National Polytechnic Institute Detail Findings in Machine Learning (Physics-inspired Evolutionary Machine Learning Method: From the Schrodinger Equation To an Orbital-free-dft Kinetic Energy Functional)

    81-82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 Queretaro, Mexico, by NewsRx journalists, research stated, “We introduce a machine learning (ML)- supervised model function (which is in fact a functional rather than a regular function) that is inspired by the variational principle of physics. This ML hypothesis evolutionary method, termed ML-Omega, allows us to go from data to differential equation(s) underlying the physical (chemical, engineering, etc.) phenomena from which the data are derived from.”

    Princess Sumaya University for Technology Researcher Adds New Study Findings to Research in Robotics (Embedded ML-based locomotion control for a 12-joint four-l egged robot)

    82-82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 robotics. According to news originating from Amman, Jordan, by NewsRx correspondents, research stated, “Reinforcement learning has developed as a promising approach for robot locomotion control, which can save engineering effort compared to conventional approaches.”

    Studies from University of Technology Sydney Have Provided New Data on Robotics (Simultaneous Position-and-stiffness Control of Underactuated Antagonistic Tendon-driven Continuum Robots)

    83-83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 in a new report. According to news reporting originating in Sydney, Australia, by NewsRx journalists, research stated, “Continuum robots have gained widespread popularity due to their inherent compliance and flexibility, particularly their a djustable levels of stiffness for various application scenarios. Despite efforts to dynamic modeling and control synthesis over the past decade, few studies have incorporated stiffness regulation into their feedback control design; however, this is one of the initial motivations to develop continuum robots.”

    Studies from Zhengzhou University of Light Industry Update Current Data on Robotics (Robust Optimal Control for Cable-Driven Parallel Robots via Event-Triggered ADP)

    84-84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 robotics have been published. According to news reporting from Henan, People’s Republic of China, by NewsRx journalists, research stated, “Based on adaptive dynamic programming (ADP) method and the event-triggered mechanism, this paper proposes a robust control method for the cable-driven parallel robots (CDPRs) with external disturbances and cable tension constraint.”

    Reports Summarize Robotics Findings from Northwestern Polytechnic University (A Zigzag-based Thickness-accommodating Foldable Prismatic Structure With a Single- degree-of-freedom)

    84-85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 Robotics are discussed in a new report. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Origami inspires various designs of foldable prismatic structures with zero-thickness facets. However, there is a difficulty in directly applying them to thick materials.”

    Recent Research from Lanzhou University Highlight Findings in Robotics (A Kalman -koopman Lqr Control Approach To Robotic Systems)

    85-86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 Robotics. According to news reporting out of Lanzhou, People’s Republic of China, by NewsRx editors, research stated, “This article presents a Kalman-Koopman linear quadratic regulator (KKLQR) control approach to robotic systems. In the proposed approach, an optimal Koopman modeling method based on neural networks, in which continuous Koopman eigenfunctions are constructed without requiring any predefined dictionary, is proposed to obtain approximated linear models with high precision for robotic systems.”

    Chongqing Medical University Reports Findings in Machine Learning (A novel appro ach to the cause of death identification-multistrategy integration of multi-org an FTIR spectroscopy information using machine learning)

    86-87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 the subject of a report. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Identifying the cause of death has always been a major focus and challenge in forensic practice and rese arch. Traditional techniques for determining the causes of death are time-consuming, labor-intensive, have high professional barriers, and are vulnerable to sig nificant subjective bias.”