{'fraction_non_alphanumeric': 0.01914580265095729, 'fraction_numerical': 0.0, 'mean_word_length': 4.862068965517241, '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}}
On-line path planning for robot manipulators in dynamic environments

Path planning for robot manipulators is a complex subject, which is why most research has been restricted to static environments, where off-line path planning is acceptable, and very little work has been done on dynamic environments. On-line path planning is normally based on local algorithms that end up being inefficient due to their lack of global information (local minima problems). In this paper we present a new method for on-line path planning in dynamic environments. It solves the lack of global vision of local methods by using a hybrid two stage framework that combines global and local planning.