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A rough set genetic algorithm (RSGA) is mainly studied to optimize the robot path planning speed and enhance the precision. At first, under the grid model and by the feasibility of the grid, the initial decision-making table of the robot is obtained, which can be simplified by the rough set theory to extract the minimal decision-making rules. We use these(More)
In order to solve the problem about the recognition accuracy, Tchebichef moment invariants and support vector machine (SVM) are adopted to recognize the vehicle-logo. It extracts six invariant moments of the object as feature vectors, and then uses the support vector machines (SVM) to recognize vehicle-logo. Tchebichef moment invariants perform(More)
To solve the seam tracking problem of the welding mobile robot, a new controller based on the dynamics model of the mobile welding robot is designed. Self-turning fuzzy controller is designed to complete coordinately controlling of cross-slider and wheels, and exactly welding seam tracking was realized by use of the controller. To make the tracking more(More)
This paper discusses how to construct a B-spline surface from its boundary information and inner points. First, an algorithm is presented which can construct a B-spline surface that interpolates four given boundary curves and simultaneously approximates given inner points. Then, the approach is extended to interpolate the cross-boundary derivatives as well.(More)
A new recognizing obstacle method based on the visual information with the different voice was proposed in this paper, which overcame the flaw of the former ETA system to be unable to distinguish the outside obstacle concrete information. This method extraction goal object's color and the shape characteristic, with the established database retrieval math,(More)
A control strategy that combines input shaping with PD feedback control is presented in this paper. Input shaping was used to cancel the swing of the bucket, and feedback was used to detect and eliminate the position error of the trolley. Simulation of the bucket dynamics was carried on to evaluate the performance of the controller.
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