Robotics & Machine Learning Daily News2024,Issue(Nov.4) :62-63.

Reports on Robotics Findings from Zhejiang University Provide New Insights (A Di gital Twin of Intelligent Robotic Grasping Based On Single-loop-optimized Differ entiable Architecture Search and Simreal Collaborative Learning)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :62-63.

Reports on Robotics Findings from Zhejiang University Provide New Insights (A Di gital Twin of Intelligent Robotic Grasping Based On Single-loop-optimized Differ entiable Architecture Search and Simreal Collaborative Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news originating from Hangzhou, People’s Republic of China, by N ewsRx correspondents, research stated, “The effectiveness of deep learning model s for vision-based intelligent robotic grasping (IRG) tasks typically hinges upo n the deep neural network (DNN) architecture as well as the task-oriented annota ted training samples. Nevertheless, current methods applied for designing DNN ar chitectures depend on human expertise or discrete search by evolution and reinfo rcement learning algorithms, which leads to enormous computational cost.”

Key words

Hangzhou/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Robotics/Robots/Zhejiang Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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