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Learning by watching: extracting reusable task knowledge from visual observation of human performance
IEEE Transactions on Robotics and Automation
Abstract| A novel task instruction method for future intelligent robots is presented. In our method, a robot learns reusable task plans by watching a human perform assembly tasks. Functional units and working algorithms for visual recognition and analysis of human action sequences are presented. The overall system is model based and integrated at the symbolic level. Temporal segmentation of a continuous task performance into meaningful units and identication of each operation is processed indoi:10.1109/70.338535 fatcat:7garp3urgfezhjf7gg4zjx7gjy