Robotics & Machine Learning Daily News2024,Issue(Oct.3) :136-137.

Reports Outline Robotics Findings from Zhejiang University (A Skeleton-based Ass embly Action Recognition Method With Feature Fusion for Human-robot Collaborativ e Assembly)

Robotics & Machine Learning Daily News2024,Issue(Oct.3) :136-137.

Reports Outline Robotics Findings from Zhejiang University (A Skeleton-based Ass embly Action Recognition Method With Feature Fusion for Human-robot Collaborativ e Assembly)

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Abstract

2024 OCT 03 (NewsRx)-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 reporting from Hangzhou, People's Republic of China, by New sRx journalists, research stated, "Human-robot collaborative assembly (HRCA) is one of the current trends of intelligent manufacturing, and assembly action reco gnition is the basis of and the key to HRCA. A multi-scale and multi-stream grap h convolutional network (2MSGCN) for assembly action recognition is proposed in this paper. 2MSGCN takes the temporal skeleton sample as input and outputs the c lass of the assembly action to which the sample belongs." Funders for this research include National Natural Science Foundation of China ( NSFC), Key Research and Development Program of Zhejiang Province.

Key words

Hangzhou/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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