Robotics & Machine Learning Daily News2024,Issue(Mar.25) :21-22.

New Robotics Study Findings Recently Were Reported by Researchers at Chongqing U niversity (Optimization Method and Experimental Research On Robot Belt Grinding Trajectory of Additive Blade With Non-uniform Allowance Distribution)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :21-22.

New Robotics Study Findings Recently Were Reported by Researchers at Chongqing U niversity (Optimization Method and Experimental Research On Robot Belt Grinding Trajectory of Additive Blade With Non-uniform Allowance Distribution)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating from Chongqing, People's Republic of China, by NewsRx correspondents, research stated, “When robotic bel t grinding was used to machine aeroadditive blade that had non-uniform distribut ion of the allowance, the traditional trajectory planning method did not take in to account of the complexity of error control of curved profile, which results i n lower face shape accuracy; to address this question, this research proposed a new trajectory planning method. Firstly, a series of robot position data nodes w ere obtained through the iso-parametric line method, and node interpolation was applied to obtain the non-uniform rational B-spline (NURBS) curves which passed through the data points; based on the homogenous matrix transformation of NURBS curve, the initial position of the grinding head was modeled and the pose was solved.”

Key words

Chongqing/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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