{'fraction_non_alphanumeric': 0.018211920529801324, 'fraction_numerical': 0.008278145695364239, 'mean_word_length': 5.4361702127659575, '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}}
Hand-to-eye calibration for 3D surface digitalisation system

Main contributions of this paper include: 1 a platform composed of a laser-stripe vision sensor and an industrial robot is established for 3D surface digitalisation; 2 a mathematic model for measuring system is constructed by using homogenous coordinate transform principle and Denavit-Hartenberg notation; 3 the hand-to-sensor parameters are estimated by means of measuring a reference plane with unknown orientation and position information. Test results of both simulation and real experiments on a Yaskawa robot are reported and analysed.