Robotics & Machine Learning Daily News2024,Issue(MAY.30) :98-99.

Studies from China University of Mining and Technology Beijing Yield New Informa tion about Robotics (A High-confidence Instance Boundary Regression Approach and Its Application In Coal-gangue Separation)

Robotics & Machine Learning Daily News2024,Issue(MAY.30) :98-99.

Studies from China University of Mining and Technology Beijing Yield New Informa tion about Robotics (A High-confidence Instance Boundary Regression Approach and Its Application In Coal-gangue Separation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news originating from Beijing, People's Repu blic of China, by NewsRx correspondents, research stated, "Coalgangue sorting r obots have been established as a ground-breaking technology in mineral processin g,particularly for mitigating labor intensity and increasing production efficie ncy. Existing coal-gangue sorting robots tend to employ object detection algorit hms as the framework, but the crude bounding boxes provided by this approach is insufficient to support the robot in all sorting scenarios." Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People's Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/China U niversity of Mining and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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