Robotics & Machine Learning Daily News2024,Issue(MAY.20) :4-5.

Studies from Yangzhou University Yield New Data on Robotics (A Robot Grasping De tection Network Based On Flexible Selection of Multi-modal Feature Fusion Structure)

Robotics & Machine Learning Daily News2024,Issue(MAY.20) :4-5.

Studies from Yangzhou University Yield New Data on Robotics (A Robot Grasping De tection Network Based On Flexible Selection of Multi-modal Feature Fusion Structure)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting from Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “In unstructured scenarios, objec ts usually have unique shapes, poses, and other uncertainties, which put forward higher requirements for the robot’s planar grasping detection ability. Most pre vious methods use single-modal data or simply fused multi-modal data to predict gripper configurations.”

Key words

Jiangsu/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Yangzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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