Robotics & Machine Learning Daily News2024,Issue(Sep.4) :24-25.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :24-25.

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)

扫码查看

Abstract

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.”

Key words

Changchun/People’s Republic of China/A sia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Chinese Academy of Sciences

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文