首页|Reports Outline Robotics Findings from Zhejiang University (A Skeleton-based Ass embly Action Recognition Method With Feature Fusion for Human-robot Collaborativ e Assembly)
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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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.
HangzhouPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsZhejiang University
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