{'fraction_non_alphanumeric': 0.027559055118110236, 'fraction_numerical': 0.0, 'mean_word_length': 5.2073170731707314, '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}}
Chasing an elusive target with a mobile robot

This paper describes how a mobile robot (a six-wheeled Koala equipped with a PAL pan-tilt camera) can chase an elusive target (a remote controlled toy car) in a unknown and unconstrained environment. First, the paper demonstrates the efficiency, simplicity, and adequacy of Bayesian robot programming to quickly develop such applications. Next, it illustrates that a high information compression ratio may be obtained by some pertinent sensory-motor decoupling.