Research on robot operation automation control method based on machine vision
Due to the excessive processing of information in traditional robot operation control methods,there is a significant error in the actual robot's motion trajectory in the application environment.Therefore,a robot operation automation control method based on machine vision is proposed.Firstly,based on machine vision,the target image is processed and located,and the identified image data is restored to the corresponding grayscale image before positioning.Secondly,plan the pose trajectory of the robot and obtain the relationship between its end pose and the relative position of the member.Finally,control the robot's motion path.Experimental results:compared to Method 1,the maximum error value is 9.4mm less,and compared to Method 2,it is 10.4mm less.Therefore,it can be seen that the method proposed in this paper is effective for the automatic control of robots.
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