Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting from Auckland, New Zealand, by NewsRx journa lists, research stated, "Future manufacturing will witness a shift in human-robo t relationships toward collaboration, compassion, and coevolution. This will req uire seamless human-robot knowledge transfer." Financial supporters for this research include University of Auckland FRDF New S taff Research Fund, Industrial AI Research Group at Department of Mechanical and Mechatronics Engineering, The University of Auckland. The news correspondents obtained a quote from the research from the University o f Auckland, "Differences in language and knowledge representation hinder the tra nsfer of knowledge between humans and robots. Thus, a unified knowledge represen tation system that can be shared by humans and robots is essential. Driven by th is need in a product as-sembly scenario, we propose the Human-Robot Shared Assem bly Taxonomy (HR-SAT). With HR-SAT, any comprehensive assembly task can be repre sented as a knowledge graph that both humans and robots can un-derstand. To ensu re consistency in task decomposition and representation, we define the key eleme nts of HR-SAT. HR-SAT incorporates rich assembly information and provides necess ary information for diverse applications, e.g., process planning, quality checki ng, and human-robot collaboration. The usage and practicality of HR-SAT are demo nstrated through two case studies. As a unified assembly process representation schema, HR-SAT constitutes a critical step toward seamless human-robot knowledge transfer."
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