{'fraction_non_alphanumeric': 0.009536784741144414, 'fraction_numerical': 0.0, 'mean_word_length': 5.447368421052632, '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}}
Planificación reactiva de movimientos en tiempo real para robots móviles

Efficient motion replanning is an important problem in the field of robotic navigation since environments are rarely static in real world applications. A mobile robot needs to continuously monitor and recalculate plans of motion. Since mobile robots are often constrained by limited computational resources and time, it is important to make the process of replanning as efficient as possible. This work aims at providing practical planners that consider reflex actions and planning with probabilistic techniques to account for obstacle changes. We present experimental results using a simulator developed by the authors, and also experiments with a real robot.