Robotics & Machine Learning Daily News2024,Issue(Aug.1) :124-125.

New Findings in Robotics Described from Wuhan University of Technology (An Optim al Reference Iteration-based Surface Reconstruction Framework for Robotic Grindi ng of Additively Repaired Blade With Local Deformation)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :124-125.

New Findings in Robotics Described from Wuhan University of Technology (An Optim al Reference Iteration-based Surface Reconstruction Framework for Robotic Grindi ng of Additively Repaired Blade With Local Deformation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “The additivelyrepaired blad e requires intelligent grinding process to restore the blade profile, and the es sential prerequisiteis to reconstruct a reliable reference surface at the repai red area with local deformation. In this paper,a novel surface reconstruction f ramework based on the optimal reference iteration in the v parameterdirection i s developed to overcome this challenging problem through three steps.”

Key words

Wuhan/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Wuhan University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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