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Functional units and working algorithms for real-time visual recognition of human pick-and-place action sequences are presented. The action recognizer consists of visual feature detectors, an action/environment model, and an attention stack. It generates a symbolic description of the observed action sequence. Given a different initial state, the system reinstantiates the recognized action sequence to carry out an equivalent assembly task. Experimental results on several assembly tasks support the effectiveness of the method.>
Kuniyoshi et al. (Thu,) studied this question.