Robotics & Machine Learning Daily News2024,Issue(Dec.23) :58-58.

Reports on Robotics Findings from Tsinghua University Provide New Insights (Dual -robot Nonplanar 3d Printing Path Planning and Compensation)

Robotics & Machine Learning Daily News2024,Issue(Dec.23) :58-58.

Reports on Robotics Findings from Tsinghua University Provide New Insights (Dual -robot Nonplanar 3d Printing Path Planning and Compensation)

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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 reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The traditional planarlayered p rinting process struggles to accommodate such complex geometries, while nonplana r layeringprinting offers promise. Yet, nonplanar layering printing encounters two key challenges: One is thatnonplanar paths often cause extremely uneven int erlayer path spacing; The other is that printing withlarge overhangs creates ma ny difficulties.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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