首页|New Robotics Findings from Chinese Academy of Sciences Reported (Nonlinear Dynam ic Model Identification of Robots: Application To Collision Detection Using a Fi nite-time Nonlinear Momentum Observer)
New Robotics Findings from Chinese Academy of Sciences Reported (Nonlinear Dynam ic Model Identification of Robots: Application To Collision Detection Using a Fi nite-time Nonlinear Momentum Observer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been publi shed. According to news reporting out ofChangchun, People’s Republic of China, by NewsRx editors, research stated, “Accurate dynamic parameteridentification a nd the development of disturbance observers are essential for model-based sensor less forceestimation and collision detection in industrial robots. Current meth ods predominantly rely on least squaresand weighted least squares for dynamic p arameters identification, but their accuracy is limited.”
ChangchunPeople’s Republic of ChinaA siaAlgorithmsEmerging TechnologiesMachine LearningNano-robotRoboticsChinese Academy of Sciences
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