Abstract
Investigators publish new report on robotics. According to news reporting from Shanghai, People's Republic of China, by NewsRx journalists, research stated, “In the process of humanrobot collaborative assembly, robots need to recognize and predict human behaviors accurately, and then perform autonomous control and work route planning in real-time.” Funders for this research include Fundamental Research Funds For The Central Universities. Our news correspondents obtained a quote from the research from Tongji University: “To support the judgment of human intervention behaviors and meet the need of real-time human-robot collaboration, the Fast Spatial-Temporal Transformer Network (FST-Trans), an accurate prediction method of human assembly actions, is proposed. We tried to maximize the symmetry between the prediction results and the actual action while meeting the real-time requirement. With concise and efficient structural design, FSTTrans can learn about the spatial-temporal interactions of human joints during assembly in the same latent space and capture more complex motion dynamics. Considering the inconsistent assembly rates of different individuals, the network is forced to learn more motion variations by introducing velocity-acceleration loss, realizing accurate prediction of assembly actions.”
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