{'fraction_non_alphanumeric': 0.015894039735099338, 'fraction_numerical': 0.0, 'mean_word_length': 5.19672131147541, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Building a hierarchical robot task from multiple task procedures

To make better use of a service robot, which interacts with users during the task performance in everyday life, developers and/or users may frequently want to change action sequences so that a robot behaves in a natural manner. Emphasizing the procedural aspects of human task knowledge, we propose a method to generate a FSM-based robot task model from task procedures in possible scenarios. Proposed method consists of description of task procedures, conceptual definition of actions and states, and transformation from task procedures to a robot task language based on hierarchical finite-state machine. A simple illustrative example was described to show the application of the method.