首页|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)
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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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).
BeijingPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsChina U niversity of Mining and Technology Beijing
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