Robotics & Machine Learning Daily News2024,Issue(Aug.6) :24-24.

Findings from China University of Petroleum in Robotics Reported (Design and Tra jectory Optimization of a Large-diameter Steel Pipe Grinding Robot)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :24-24.

Findings from China University of Petroleum in Robotics Reported (Design and Tra jectory Optimization of a Large-diameter Steel Pipe Grinding Robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingoriginating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “The distributionof in ternal defects in large-diameter steel pipes can be complicated. Due to the hars h working environmentsinvolved, the manual grinding method for correcting such defects is inaccurate, inefficient, and risky.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/China University of Petroleum

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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