ADAPTIVE TRAJECTORY PLANNING AND TECHNOLOGICAL OPTIMIZATION FOR PAINTING UNEVEN SURFACES USING A ROBOT MANIPULATOR
Keywords:
Adaptive trajectory, robot manipulator, uneven surface, coating quality, MATLAB, optimization, surface normal vector, painting technology.Abstract
This paper analyzes adaptive trajectory planning, coating quality assessment, and technological optimization for painting uneven surfaces using a robot manipulator. Based on MATLAB modeling results, the relationships among spray distance, spray angle, coating thickness, and surface normal vectors are summarized. It is substantiated that for high-quality painting on uneven surfaces, both the position and orientation of the robot manipulator must be controlled together. The paper presents an adaptive trajectory planning algorithm, scientific novelties, and practical significance. The results show that the MATLAB model is an effective tool for designing, testing, optimizing, and eventually implementing robotic painting processes in real robot systems.
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