| Summary: | 碩士 === 崑山科技大學 === 機械工程研究所 === 107 === With the use and demand of the robot arm, we will continue to improve the accuracy and error of the robot arm to grasp the workpiece. If the robot arm has the ability to recognize like a human eye, the use of the robot arm will be more widely. The purpose of this thesis is to use a set of CCD vision imaging system, combined with the teaching function of the robot arm so that the robotic arm movement is no longer just a simple repetitive automatic clamping.The function of identification is intelligently identified based on the work required. In this paper, the CCD visual image system and image recognition are used to analyze the rectangular blocks of different colors, and then the workpiece is sucked by the vacuum suction cup of the robot arm. Finally, the robot arm can accurately transfer the rectangular blocks of different colors to the correct position.
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