首页|Study Findings from KTH Royal Institute of Technology Provide New Insights into Robotics (Data-efficient Multimodal Human Action Recognition for Proactive Human -robot Collaborative Assembly: a Cross-domain Few-shot Learning Approach)
Study Findings from KTH Royal Institute of Technology Provide New Insights into Robotics (Data-efficient Multimodal Human Action Recognition for Proactive Human -robot Collaborative Assembly: a Cross-domain Few-shot Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting from Stockholm, Sweden, by NewsRx jo urnalists, research stated, "With the recent vision of Industry 5.0, the cogniti ve capability of robots plays a crucial role in advancing proactive human-robot collaborative assembly. As a basis of the mutual empathy, the understanding of a human operator's intention has been primarily studied through the technique of human action recognition." Funders for this research include EU H2020 ODIN project, China Scholarship Counc il, H2020-Industrial Leadership.
StockholmSwedenEuropeEmerging Tech nologiesMachine LearningRobotRoboticsKTH Royal Institute of Technology
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