{'fraction_non_alphanumeric': 0.011421319796954314, 'fraction_numerical': 0.0, 'mean_word_length': 5.575, '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}}
Avoiding Static and Dynamic Objects in Navigation

Real-time collision free path planning involves avoidance of static as well as dynamic objects in unknown environment. Strategies suitable for stationary navigation cannot be suitable for the dynamic environment. Behavior-based control combined with fuzzy control to avoid dynamic and static obstacle is described in this paper. Behavior-based control helps the robot get over complex static environment or avoid dynamic objects according to different collision situation. Double-layered fuzzy logic control helps figure out velocity and steering angle of the robot based on some uncertain information. The method has been tested effectively through simulation by a mobile robot navigating amidst multiple static and dynamic environments