首页|Investigators from Chinese Academy of Sciences Target Robotics (A Semilinearized Approach for Dynamic Identification of Manipulator Based On Nonlinear Friction Model)
Investigators from Chinese Academy of Sciences Target Robotics (A Semilinearized Approach for Dynamic Identification of Manipulator Based On Nonlinear Friction Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting from Changchun, People’s Repu blic of China, by NewsRx journalists, research stated, “Accurate identification of manipulator dynamics parameters is crucial for achieving precise control and optimal performance in various robotic applications. Existing methods primarily utilize least squares or weighted least squares for dynamic parameter identifica tion, which cannot effectively integrate the nonlinear friction model and satisf y physical feasibility constraints (PFCs).” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
ChangchunPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsChinese Academy o f Sciences
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