Target Strategy for Industrial Robots

摘要

In order to solve the problem of low efficiency in the process of locating objects when the industrial robot performs a crawling operation, a hierarchical object localization strategy combining MeanShift algorithm and SURF algorithm is proposed to locate the objects quickly and accurately. Firstly, the MeanShift algorithm is used for cutting out the target image information for initial processing, according to the target object image information collected by the binocular vision system. Then, the feature points are matched by the SURF algorithm with good computational superiority and repeatability, uniqueness and robustness. Finally, the matching feature points are combined with the triangular measurement principle to accurately locate the three-dimensional coordinates of the object. The experiment proves that the method of this paper has improved the speed and precision of the recognition of the robot crawling.