{'fraction_non_alphanumeric': 0.016713091922005572, 'fraction_numerical': 0.0, 'mean_word_length': 5.042016806722689, '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}}
Estimation of unknown curvature using a coarse-resolution sensor and contact kinematics

The curvatures of an object play an important role in the shape reconstruction of that object. In this research, we suggest a method of estimating unknown curvatures using a coarse-resolution force torque sensor. First, a method of estimating unknown curvatures using large motions in terms of rolling and sliding is proposed. Next, a tracking algorithm for an unknown surface based on an inner position loop control algorithm is presented. An application of this method to the finger of a robot hand is also discussed. Finally, the algorithm is verified by simulations and experiments for several cylinders with different radii.