Findings from China University of Mining and Technology Reveals New Findings on Robotics (Research On Lightweight Yolo Coal Gangue Detection Algorithm Based On Resnet18 Backbone Feature Network)

Robotics & Machine Learning Daily News2024，Issue(Jan.16) ：25-25.

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Findings from China University of Mining and Technology Reveals New Findings on Robotics (Research On Lightweight Yolo Coal Gangue Detection Algorithm Based On Resnet18 Backbone Feature Network)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. According to news reporting originating in Beijing,People’s Republic of China, by NewsRx journalists, research stated, “Nowadays coal gangue presortingis still mostly conducted manually, with high labor intensity, low sorting efficiency, and potential safetyhazards. A coal gangue sorting robot that is an effective device to complete the coal gangue presortinginstead of the worker, for which the coal gangue intelligent detection is one of its key technologies.”

Key words

Beijing/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/China University of Mining and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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