Robotics & Machine Learning Daily News2024,Issue(Feb.15) :57-58.DOI:10.1016/j.ymssp.2023.110914

Reports from Huazhong University of Science and Technology Advance Knowledge in Robotics (Knowledge-wrapping Method for Prediction and Evaluation of Material Removal Behavior In Robotic Belt Grinding)

Robotics & Machine Learning Daily News2024,Issue(Feb.15) :57-58.DOI:10.1016/j.ymssp.2023.110914

Reports from Huazhong University of Science and Technology Advance Knowledge in Robotics (Knowledge-wrapping Method for Prediction and Evaluation of Material Removal Behavior In Robotic Belt Grinding)

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Abstract

Current study results on Robotics have been published. According to news reporting originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Reliable prediction and evaluation of material removal (MR) is a continuing pursuit in the grinding process. Mechanistic and empirical MR models always suffer from inaccuracies and restricted applicability, whereas data-driven approaches remain deficient in sample dependence, generalization, and physical interpretability.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量55
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