{'fraction_non_alphanumeric': 0.014842300556586271, 'fraction_numerical': 0.0037105751391465678, 'mean_word_length': 5.136363636363637, '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}}
Learning of Object Identification by Robots Controlled by Natural Language

Natural language communication is very important in Human-Robot cooperative work. This paper presents an object sorting robotic system which is controlled by natural language commands. A PA-10 robot manipulator is issued commands like “pick the big red cube” to pick objects placed on a table. The robot learns to interpret the meaning of this type of natural commands by learning individual lexical symbols in the grammar and their corresponding object features.