Robotics & Machine Learning Daily News2024,Issue(Apr.3) :6-7.

Xi'an University of Science and Technology Researchers Report on Findings in Rob otics (Improved ORB-FLANN efficient matching method for coal gangue image)

Robotics & Machine Learning Daily News2024,Issue(Apr.3) :6-7.

Xi'an University of Science and Technology Researchers Report on Findings in Rob otics (Improved ORB-FLANN efficient matching method for coal gangue image)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on robotics have bee n published. According to news reporting out of Xi'an, People's Republic of Chin a, by NewsRx editors, research stated, "In order to solve the problem of graspin g failure or missing grasping due to the change of target gangue position and po sture caused by belt slip, deviation and belt speed fluctuation of belt conveyor when the gangue sorting robot sorts gangue, an improved ORB-FLANN efficient mat ching method of gangue recognition image and sorting image is proposed."

Key words

Xi'an University of Science and Technolo gy/Xi'an/People's Republic of China/Asia/Emerging Technologies/Machine Lear ning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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