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    New Findings in Robotics Described from Massachusetts Institute of Technology (G mmap: Memory-efficient Continuous Occupancy Map Using Gaussian Mixture Model)

    19-20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 Cambridge, Massachus etts, by NewsRx journalists, research stated, “Energy consumption of memory acce sses dominates the compute energy in energy-constrained robots, which require a compact 3- D map of the environment to achieve autonomy. Recent mapping framework s only focused on reducing the map size while incurring significant memory usage during map construction due to the multipass processing of each depth image.”

    Hainan Medical University Reports Findings in Vascular Diseases and Conditions ( Predictive model and risk analysis for peripheral vascular disease in type 2 dia betes mellitus patients using machine learning and shapley additive explanation)

    20-21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 Cardiovascular Disease s and Conditions - Vascular Diseases and Conditions is the subject of a report. According to news originating from Haikou, People’s Republic of China, by NewsRx correspondents, research stated, “Peripheral vascular disease (PVD) is a common complication in patients with type 2 diabetes mellitus (T2DM). Early detection or prediction the risk of developing PVD is important for clinical decision-maki ng.”

    Findings on Robotics Reported by Investigators at Stanford University (Fast Cont act-implicit Model Predictive Control)

    21-22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 Robotics is the subjec t of a report. According to news reporting from Stanford, California, by NewsRx journalists, research stated, “In this article, we present a general approach fo r controlling robotic systems that make and break contact with their environment s. Contact-implicit model predictive control (CI-MPC) generalizes linear MPC to contact-rich settings by utilizing a bilevel planning formulation with lower lev el contact dynamics formulated as time-varying linear complementarity problems ( LCPs) computed using strategic Taylor approximations about a reference trajectory.”

    Researchers' Work from University of Dhaka Focuses on Machine Learning (Unraveli ng birth weight determinants: Integrating machine learning, spatial analysis, an d district-level mapping)

    22-23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 artificial intelligen ce have been presented. According to news originating from the University of Dha ka by NewsRx correspondents, research stated, “Despite a decrease in the prevale nce of low birth weight (LBW) over time, its ongoing significance as a public he alth concern in Bangladesh remains evident. Low birth weight is believed to be a contributing factor to infant mortality, prolonged health complications, and vu lnerability to non-communicable diseases.”

    Study Results from University of Douala Broaden Understanding of Machine Learnin g [Tectono-stratigraphic Architecture, Depositional Systems a nd Salt Tectonics To Strike-slip Faulting In Kribicampo-cameroon Atlantic Margi n With an Unsupervised ...]

    23-24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 originating in Douala, Camero on, by NewsRx journalists, research stated, “Located in the Gulf of Guinea, the Kribi-Campo sub-basin belongs to the Aptian salt basins along the West African M argin. In this paper, we investigated the tectono-stratigraphic architecture of the basin, focusing on the role of salt tectonics and strike-slip faults along t he Kribi Fracture Zone with implications for reservoir prediction.”

    University of Shanghai for Science and Technology Reports Findings in Robotics ( Adaptive recursive sliding mode based trajectory tracking control for cable-driv en continuum robots)

    24-25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 Robotics is the subjec t of a report. According to news reporting originating in Shanghai, People’s Rep ublic of China, by NewsRx journalists, research stated, “To improve the transien t response, accuracy and robustness of trajectory tracking control for cable-dri ven continuum robots (CDCRs), a recursive integral terminal sliding mode control combined with an adaptive disturbance observer (ADO-RITSMC) is proposed. The re cursive integral terminal sliding mode control (RITSMC) guarantees fast transien t response and high tracking accuracy with a fast zero convergence of the tracki ng error without chattering.”

    Researchers from Nanjing University of Posts and Telecommunications Report on Fi ndings in Robotics (An Optimized Q-learning Algorithm for Mobile Robot Local Pat h Planning)

    25-25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 from Jiangsu, People’s Republic of China, by NewsRx jou rnalists, research stated, “The Q-Learning algorithm is a reinforcement learning technique widely used in various fields such as path planning, intelligent tran sportation, penetration testing, among others. It primarily involves the interac tion between an agent and its environment, enabling the agent to learn an optima l strategy that maximizes cumulative rewards.”

    Institute of Control Researchers Publish New Studies and Findings in the Area of Machine Learning (Investigation of the Fork-Join System with Markovian Arrival Process Arrivals and Phase-Type Service Time Distribution Using Machine Learning ...)

    26-26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 ar tificial intelligence. According to news reporting originating from Moscow, Russ ia, by NewsRx correspondents, research stated, “This paper presents a study of f ork-join systems. The fork-join system breaks down each customer into numerous t asks and processes them on separate servers.” Funders for this research include Russian Science Foundation.

    Sorbonne Universites Reports Findings in Robotics (Assistance by adaptative damp ing on a complex bimanual task in laparoscopic surgery)

    27-27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 Robotics is the subjec t of a report. According to news reporting originating from Paris, France, by Ne wsRx correspondents, research stated, “Laparoscopic surgery has improved outcome s in abdominal surgery, but presents kinematic restrictions for surgeons. Roboti c comanipulation with adaptative damping has been investigated in simple laparos copic tasks.”

    Investigators at Lanzhou University Report Findings in Robotics (Robust Neural D ifferential Solution for Time-dependent Nonlinear Optimization With Noises Rejec tion)

    28-29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 Robotics is the subjec t of a report. According to news originating from Lanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Model uncertainty, exogenous disturbance, and time-dependent computing are significant issues in constrained nonlinear optimization and related practical problems. This paper highlights two limitations of current methods for time-dependent nonlinear optimization, i.e., disturbance handling and restrictions on the objective function and constraints .”