Abstract
As an important part of the automation industrial system, mechanical arm robot plays an important role in service, exploration, automation engineering and other fields, and has a broad application prospect. The traditional mechanical arm and Sobel edge detection methods have some shortcomings: 1. The PID method is separated from the ontology model and only carries out simple and multiple calculations according to the code of the steering engine, which is not stable enough and will cause more time consumption; 2. In some complex environments, while Sobel edge detection is detecting the shape of objects, the separation between subject and background is not clear, which makes it impossible to obtain accurate object information. Therefore, this paper proposes a new PID method and Canny edge detection algorithm: 1. PID method combined with three-dimensional coordinate system modeling, to achieve a more stable, faster and more robust calculation formula, to complete the mechanical arm grasping function; 2. Using Canny edge detection and three-dimensional coordinate system to analyze the object image to obtain the accurate information of the target object.
Highlights
With the progress of science and technology, it is of great significance to study wheeled cars equipped with mechanical arms in today’s informational and automated world
Through the camera mounted on the robot arm to collect images and image processing and target recognition, so as to control the robot arm to accurately grasp the target object
It occupies an important position in maintenance, exploration, automation engineering and other fields, and has become an important part of the modern automation industry system, and has a broad application prospect [1]
Summary
With the progress of science and technology, it is of great significance to study wheeled cars equipped with mechanical arms in today’s informational and automated world. Through the camera mounted on the robot arm to collect images and image processing and target recognition, so as to control the robot arm to accurately grasp the target object. At the same time, according to the mechanical arm to grasp the object and use the wheeled robot to move, complete the intelligent robot design. The intelligent robot proposed in this paper is a wheeled robot combined with a mechanical arm, and the vision through the camera is used to accurately grasp the target object. An automatic object grabbing system based on wheeled robot equipped with mechanical arm is studied. Image processing combined with wheeled robot [22] and other technologies are used to improve the accuracy and operational efficiency of the mechanical arm to grasp the target object
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