Method for assembling SCARA robot through digital image processing technology

Abstract

A method for assembling a SCARA robot through a digital image processing technology comprises the steps that firstly, an industrial camera is mounted, images of a work region are acquired in real time, and then the design of a digital image processing algorithm including camera calibration and identification and positioning of a workpiece is conducted; secondly, the control over the SCARA robot is achieved, the SCARA robot is connected with an upper computer through the Ethernet, the upper computer can send the coordinates and the posture of the workpiece to the robot, and then the design of a grabbing and putting program of the robot is completed; and finally, the design of the upper computer through development of the MFC of Visual Studio is achieved, the work region can be monitored, real-time communication with the robot can be achieved, and the operation state of the whole system can be displayed. The method has the beneficial effects that the capacity of adaptability of the robot to the environment can be improved, and the production efficiency of the robot can be improved.

Description

technical field [0001] The invention relates to the technical field of robot somatosensory programming methods, in particular to a SCARA robot assembly method utilizing digital image processing technology. Background technique [0002] Industrial robots are highly integrated products of mechatronics. As one of the ten key development areas of "Made in China 2025", they are an important symbol of the level of industrial automation and Industry 4.0. Industrial robots have the advantages of high repeatability, good reliability, and strong applicability. They are widely used in industries such as automobiles, machinery, electronics, and logistics. They have been proven to be the most efficient production tools at present, and their demand continues to rise. Since the early 1960s, industrial robots have experienced three stages of development. The first generation is a teaching and reproduction industrial robot, which can only memorize the trajectory, sequence, requirements, etc...

AI Technical Summary

Problems solved by technology

[0003] Machine vision is an important research field of industrial robots. At present, most industrial robots on the production line control the robot to perform predetermined command actions through pre-teaching or offline programming. Once the working environment or target objects change, the robot cannot adapt to these changes in time. changes, resulting in task failure, and this way of working limits the flexibility and work efficiency of industrial robots to a large extent

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