Robotics & Machine Learning Daily News2024,Issue(Mar.20) :35-36.

Researchers from Xiamen University Report Recent Findings in Machine Learning (A pplication of Physics-informed Machine Learning for Excavator Working Resistance Modeling)

Robotics & Machine Learning Daily News2024,Issue(Mar.20) :35-36.

Researchers from Xiamen University Report Recent Findings in Machine Learning (A pplication of Physics-informed Machine Learning for Excavator Working Resistance Modeling)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Xiamen, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate m easurement of the working resistance encountered during excavation plays a vital role in improving production efficiency, reducing energy consumption, and enabl ing intelligent capabilities in excavators. To address the challenges of the ina ccurate measurement of working resistance, we present a novel method for measuri ng excavator working resistance based on physics-informed machine learning (PIML ).”

Key words

Xiamen/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xiamen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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