Robotics & Machine Learning Daily News2024,Issue(Oct.25) :109-110.

Faculty of Printing Researchers Broaden Understanding of Robotics (A Novel Robot ic Grasp Framework for Accurate Grasping Under Complex Packaging Factory Environ ments)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :109-110.

Faculty of Printing Researchers Broaden Understanding of Robotics (A Novel Robot ic Grasp Framework for Accurate Grasping Under Complex Packaging Factory Environ ments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of the Faculty of Printing by NewsRx edi tors, research stated, “As grasping behaviors in real packaging scenarios are ap t to be influenced by various disturbances, visual grasping prediction systems h ave suffered from the poor robustness and low detection accuracy. In this study, an intelligent robotic grasp framework (RTnet) underpinned by a linear global a ttention mechanism has been proposed to achieve the highly robust robot grasp pr ediction in real packaging factory scenarios.”

Key words

Faculty of Printing/Emerging Technologi es/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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